1 Load Packages
2 Wrangle Data
Import edges:Show code
dlt1_ties <- read_csv("~/r-projects/mccluredistill/_posts/2022-04-03-closeness-betweeness-socialnetworking/data/dlt1-edges.csv",
col_types = cols(Sender = col_character(),
Receiver = col_character(),
`Category Text` = col_skip(),
`Comment ID` = col_character(),
`Discussion ID` = col_character())) |>
clean_names()
dlt1_ties
# A tibble: 2,529 x 9
sender receiver timestamp discussion_title discussion_cate~
<chr> <chr> <chr> <chr> <chr>
1 360 444 4/4/13 16:32 Most important chang~ Group N
2 356 444 4/4/13 18:45 Most important chang~ Group D-L
3 356 444 4/4/13 18:47 DLT Resources—Commen~ Group D-L
4 344 444 4/4/13 18:55 Most important chang~ Group O-T
5 392 444 4/4/13 19:13 Most important chang~ Group U-Z
6 219 444 4/4/13 19:16 Most important chang~ Group M
7 318 444 4/4/13 19:26 Most important chang~ Group M
8 4 444 4/4/13 19:44 Most important chang~ Group N
9 355 356 4/4/13 20:12 DLT Resources—Commen~ Group D-L
10 355 444 4/4/13 20:13 Most important chang~ Group D-L
# ... with 2,519 more rows, and 4 more variables:
# parent_category <chr>, discussion_identifier <chr>,
# comment_id <chr>, discussion_id <chr>Add node attributes:
Show code
dlt1_actors <- read_csv("data/dlt1-nodes.csv",
col_types = cols(UID = col_character(),
Facilitator = col_character(),
`expert` = col_character(),
`connect` = col_character())) |>
clean_names()
dlt1_actors
# A tibble: 445 x 13
uid facilitator role1 experience experience2 grades location
<chr> <chr> <chr> <dbl> <chr> <chr> <chr>
1 1 0 libmedia 1 6 to 10 secon~ VA
2 2 0 classteac~ 1 6 to 10 secon~ FL
3 3 0 districta~ 2 11 to 20 gener~ PA
4 4 0 classteac~ 2 11 to 20 middle NC
5 5 0 otheredpr~ 3 20+ gener~ AL
6 6 0 classteac~ 1 4 to 5 gener~ AL
7 7 0 instructi~ 2 11 to 20 gener~ SD
8 8 0 specialed 1 6 to 10 secon~ BE
9 9 0 classteac~ 1 6 to 10 middle NC
10 10 0 schooladm~ 2 11 to 20 middle NC
# ... with 435 more rows, and 6 more variables: region <chr>,
# country <chr>, group <chr>, gender <chr>, expert <chr>,
# connect <chr>codebook descriptors. The first one has been done as an example.
Facilitator= Identification of course facilitator (1 = instructor)UID= Dummy variable for whether participants listed networking and collaboration with others as one of their course goals on the registration formexpert= Identifier of “expert panelists” invited to course to share experience through recorded Q&AFacilitator= Identification of course facilitator (1 = instructor)role1= Professional role (eg, teacher, librarian, administrator)experience2= Years of experience as an educatorgrades= Works with elementary, middle, and/or high school studentsgeoup= Initial assignment of discussion group
2b. Create Network Object and convert to graph object
Show code
dlt1_network <- tbl_graph(edges = dlt1_ties,
nodes = dlt1_actors,
node_key = "uid",
directed = TRUE)
Show code
# create dlt2
dlt2_ties <- read_csv("data/dlt2-edges.csv",
col_types = cols(Sender = col_character(),
Reciever = col_character(),
`Category` = col_skip(),
`CommentID` = col_character(),
`DiscussionID` = col_character())) |>
clean_names()
dlt2_actors <- read_csv("data/dlt2-nodes.csv",
col_types = cols(uid = col_character(),
facilitator = col_character(),
`expert` = col_character(),
`connect` = col_character())) |>
clean_names()
dlt2_network <- tbl_graph(edges = dlt2_ties,
nodes = dlt2_actors,
node_key = "uid",
directed = TRUE)
Show code
dlt1_network
# A tbl_graph: 445 nodes and 2529 edges
#
# A directed multigraph with 4 components
#
# Node Data: 445 x 13 (active)
uid facilitator role1 experience experience2 grades location
<chr> <chr> <chr> <dbl> <chr> <chr> <chr>
1 1 0 libm~ 1 6 to 10 secon~ VA
2 2 0 clas~ 1 6 to 10 secon~ FL
3 3 0 dist~ 2 11 to 20 gener~ PA
4 4 0 clas~ 2 11 to 20 middle NC
5 5 0 othe~ 3 20+ gener~ AL
6 6 0 clas~ 1 4 to 5 gener~ AL
# ... with 439 more rows, and 6 more variables: region <chr>,
# country <chr>, group <chr>, gender <chr>, expert <chr>,
# connect <chr>
#
# Edge Data: 2,529 x 9
from to timestamp discussion_title discussion_cate~
<int> <int> <chr> <chr> <chr>
1 360 444 4/4/13 1~ Most important ~ Group N
2 356 444 4/4/13 1~ Most important ~ Group D-L
3 356 444 4/4/13 1~ DLT Resources—C~ Group D-L
# ... with 2,526 more rows, and 4 more variables:
# parent_category <chr>, discussion_identifier <chr>,
# comment_id <chr>, discussion_id <chr>Show code
dlt2_network
# A tbl_graph: 492 nodes and 2584 edges
#
# A directed multigraph with 69 components
#
# Node Data: 492 x 13 (active)
uid facilitator role experience2 experience grades location
<chr> <chr> <chr> <dbl> <dbl> <chr> <chr>
1 1 0 curr~ 2 17 gener~ IN
2 2 0 other 1 3 prima~ NC
3 3 0 inst~ 2 20 gener~ US
4 4 0 inst~ 2 12 middle TX
5 5 0 other 1 0 gener~ CAN
6 6 0 inst~ 1 7 gener~ CAN
# ... with 486 more rows, and 6 more variables: region <chr>,
# country <chr>, group <chr>, gender <chr>, expert <chr>,
# connect <chr>
#
# Edge Data: 2,584 x 8
from to timestamp title parent description comment_id
<int> <int> <chr> <chr> <chr> <chr> <chr>
1 37 461 9/27/13 Gree~ Group~ Please int~ 3
2 434 434 9/27/13 Sher~ Group~ Please int~ 4
3 302 434 9/27/13 Sher~ Group~ Please int~ 5
# ... with 2,581 more rows, and 1 more variable: discussion_id <chr>3. Explore
Let’s first take a quick look at the summaries for “weak” components in our network: There are 4 components as we discovered above, 1 component has 442 members and three (our isolates) have only 1 member.
Show code
components(dlt1_network, mode = c("weak"))
$membership
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[33] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[65] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[97] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[129] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[161] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[193] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[225] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[257] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[289] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[321] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[353] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[385] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[417] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 3 4 1 1
$csize
[1] 442 1 1 1
$no
[1] 4Now let’s inspect the strong components: WOW, you’ll see that we have a total of 209 distinct components!
Show code
components(dlt1_network, mode = c("strong"))
$membership
[1] 194 194 194 194 194 194 194 194 194 194 194 194 194 194 194 194
[17] 194 193 194 194 203 194 209 194 194 194 194 192 194 194 191 194
[33] 194 194 194 194 194 194 194 190 194 194 194 194 194 194 189 194
[49] 194 194 194 194 194 194 188 194 194 194 194 194 194 194 194 194
[65] 194 194 194 194 194 194 194 194 187 194 194 194 194 194 186 194
[81] 194 194 194 208 194 185 194 194 184 194 194 194 183 194 181 180
[97] 178 194 194 194 194 177 194 194 194 194 194 176 194 194 175 194
[113] 194 194 194 194 194 194 194 174 194 194 169 168 167 166 165 194
[129] 194 164 194 194 194 163 162 194 194 194 161 159 194 194 158 194
[145] 173 182 157 156 155 172 171 194 206 194 194 194 194 194 194 154
[161] 194 194 194 153 194 152 194 151 150 194 149 194 194 148 202 194
[177] 194 194 147 146 194 201 194 194 194 145 195 194 198 194 194 194
[193] 194 194 194 144 194 194 194 194 194 143 194 142 194 194 194 194
[209] 194 141 194 194 140 139 138 194 194 194 194 137 194 194 194 136
[225] 135 194 194 134 133 131 130 129 128 204 194 127 126 125 160 124
[241] 123 122 194 121 119 194 194 194 194 194 194 194 194 194 118 194
[257] 194 179 117 115 116 194 120 114 194 194 113 194 112 194 194 194
[273] 199 111 194 194 194 110 194 109 194 108 106 107 194 200 194 105
[289] 104 103 102 194 194 101 194 100 99 98 97 194 194 194 194 96
[305] 194 197 194 207 95 194 94 93 92 91 90 89 194 194 194 88
[321] 194 194 194 205 194 87 86 85 194 170 194 84 83 196 194 194
[337] 194 194 194 194 194 194 194 132 194 194 194 82 81 194 194 80
[353] 79 78 194 194 77 194 76 75 194 74 73 72 71 70 69 68
[369] 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52
[385] 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36
[401] 35 34 33 32 31 30 29 28 27 26 25 24 194 23 22 21
[417] 20 19 18 17 16 194 15 14 13 12 11 10 9 8 7 194
[433] 194 194 6 5 194 194 194 4 3 2 1 194 194
$csize
[1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[17] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[33] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[49] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[65] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[81] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[97] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[113] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[129] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[145] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[161] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[177] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[193] 1 237 1 1 1 1 1 1 1 1 1 1 1 1 1 1
[209] 1
$no
[1] 209If we wanted to illustrate this with a sociogram, we could create a
new edge variable using the same activate() and
mutate() functions and filter() our edges so
our graph only contains reciprocated ties, like so:
Show code
dlt1_network |>
activate(edges) |>
mutate( reciprocated = edge_is_mutual()) |>
filter(reciprocated == TRUE) |>
autograph()
activate() and
filter() functions:
Show code
dlt1_network <- dlt1_network |>
activate(nodes) |>
mutate(strong_component = group_components(type = "strong"))
Compositional and Variance Measures To quickly
calculate summary statistics for our nodes, including compositional and
variance measures for our egocentric measures, we can use the
skim() function from the {skimr} package to take a quick
look at the variables in our node list:
| Name | as_tibble(dlt1_network) |
| Number of rows | 445 |
| Number of columns | 14 |
| _______________________ | |
| Column type frequency: | |
| character | 12 |
| numeric | 2 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| uid | 0 | 1 | 1 | 3 | 0 | 445 | 0 |
| facilitator | 0 | 1 | 1 | 1 | 0 | 2 | 0 |
| role1 | 0 | 1 | 4 | 18 | 0 | 13 | 0 |
| experience2 | 0 | 1 | 3 | 8 | 0 | 6 | 0 |
| grades | 0 | 1 | 4 | 10 | 0 | 8 | 0 |
| location | 0 | 1 | 2 | 4 | 0 | 62 | 0 |
| region | 0 | 1 | 4 | 13 | 0 | 6 | 0 |
| country | 0 | 1 | 2 | 4 | 0 | 21 | 0 |
| group | 0 | 1 | 1 | 4 | 0 | 7 | 0 |
| gender | 0 | 1 | 4 | 6 | 0 | 3 | 0 |
| expert | 0 | 1 | 1 | 4 | 0 | 3 | 0 |
| connect | 0 | 1 | 1 | 4 | 0 | 3 | 0 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| experience | 0 | 1 | 2.13 | 0.80 | 1 | 1 | 2 | 3 | 3 | ▆▁▇▁▇ |
| strong_component | 0 | 1 | 49.84 | 66.43 | 1 | 1 | 1 | 98 | 209 | ▇▁▁▁▁ |
Create in a tibble and convert our node to a table and
arrange() in descending order by size to make
it easier to see the range in values of our network:
Show code
# A tibble: 445 x 3
uid facilitator size
<chr> <chr> <dbl>
1 444 1 295
2 445 1 160
3 44 0 61
4 11 0 51
5 7 0 42
6 30 0 42
7 19 0 39
8 60 0 39
9 36 0 37
10 432 0 36
# ... with 435 more rowssize by educator’s role:
Show code
| Name | select(…) |
| Number of rows | 412 |
| Number of columns | 2 |
| _______________________ | |
| Column type frequency: | |
| numeric | 1 |
| ________________________ | |
| Group variables | role1 |
Variable type: numeric
| skim_variable | role1 | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|---|
| size | classteaching | 0 | 1 | 8.97 | 8.22 | 2 | 3.00 | 6.0 | 12.00 | 39 | ▇▂▁▁▁ |
| size | curriculum | 0 | 1 | 7.70 | 7.22 | 2 | 2.50 | 5.0 | 8.50 | 24 | ▇▁▁▁▂ |
| size | districtadmin | 0 | 1 | 5.50 | 4.74 | 1 | 2.00 | 3.5 | 7.00 | 22 | ▇▂▁▁▁ |
| size | instructionaltech | 0 | 1 | 7.46 | 9.38 | 1 | 2.00 | 4.0 | 7.75 | 61 | ▇▁▁▁▁ |
| size | libmedia | 0 | 1 | 9.91 | 9.91 | 1 | 2.00 | 6.0 | 15.00 | 33 | ▇▂▁▁▁ |
| size | Operations | 0 | 1 | 3.00 | NA | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| size | other | 0 | 1 | 8.25 | 8.10 | 2 | 2.00 | 6.0 | 12.25 | 19 | ▇▁▃▁▃ |
| size | otheredprof | 0 | 1 | 18.95 | 53.48 | 2 | 3.00 | 4.0 | 9.00 | 295 | ▇▁▁▁▁ |
| size | profdev | 0 | 1 | 5.71 | 4.44 | 2 | 2.00 | 4.0 | 7.50 | 21 | ▇▂▂▁▁ |
| size | schooladmin | 0 | 1 | 9.40 | 9.10 | 2 | 3.25 | 5.5 | 13.50 | 42 | ▇▂▁▁▁ |
| size | specialed | 0 | 1 | 12.00 | 6.63 | 2 | 11.00 | 11.0 | 17.00 | 19 | ▃▁▇▁▇ |
| size | techinfrastructure | 0 | 1 | 5.44 | 3.22 | 2 | 3.00 | 4.5 | 7.00 | 14 | ▇▂▃▁▁ |
Find degree Run the following create two new variables
for our nodes: in_dgree and out_degree. We’ll
set the mode = argument in centrality_degree()
function to "in" and "out" respectively.
Show code
dlt1_network <- dlt1_network |>
activate(nodes) |>
mutate(in_degree = centrality_degree(mode = "in"),
out_degree = centrality_degree(mode = "out"))
dlt1_network |>
as_tibble()
# A tibble: 445 x 17
uid facilitator role1 experience experience2 grades location
<chr> <chr> <chr> <dbl> <chr> <chr> <chr>
1 1 0 libmedia 1 6 to 10 secon~ VA
2 2 0 classteac~ 1 6 to 10 secon~ FL
3 3 0 districta~ 2 11 to 20 gener~ PA
4 4 0 classteac~ 2 11 to 20 middle NC
5 5 0 otheredpr~ 3 20+ gener~ AL
6 6 0 classteac~ 1 4 to 5 gener~ AL
7 7 0 instructi~ 2 11 to 20 gener~ SD
8 8 0 specialed 1 6 to 10 secon~ BE
9 9 0 classteac~ 1 6 to 10 middle NC
10 10 0 schooladm~ 2 11 to 20 middle NC
# ... with 435 more rows, and 10 more variables: region <chr>,
# country <chr>, group <chr>, gender <chr>, expert <chr>,
# connect <chr>, strong_component <int>, size <dbl>,
# in_degree <dbl>, out_degree <dbl>Use the code chunk below to add a closeness and
betweenness variable to the nodes in our network
Show code
dlt1_undirected <- to_undirected(dlt1_network)
set.seed(123)
dlt1_stats <- dlt1_undirected %>%
activate(nodes)%>%
mutate(community = as.factor(group_louvain())) %>%
mutate(degree_c = centrality_degree()) %>%
mutate(betweenness_c = centrality_betweenness(directed = FALSE ,normalized = TRUE)) %>%
mutate(closeness_c = centrality_closeness(normalized = TRUE))
dltl_stats_ego <- as.data.frame(dlt1_stats)
dltl_stats_ego
uid facilitator role1 experience experience2
1 1 0 libmedia 1 6 to 10
2 2 0 classteaching 1 6 to 10
3 3 0 districtadmin 2 11 to 20
4 4 0 classteaching 2 11 to 20
5 5 0 otheredprof 3 20+
6 6 0 classteaching 1 4 to 5
7 7 0 instructionaltech 2 11 to 20
8 8 0 specialed 1 6 to 10
9 9 0 classteaching 1 6 to 10
10 10 0 schooladmin 2 11 to 20
11 11 0 other 3 20+
12 12 0 classteaching 3 20+
13 13 0 classteaching 2 11 to 20
14 14 0 other 1 0 to 3
15 15 0 schooladmin 3 20+
16 16 0 otheredprof 1 0 to 3
17 17 0 libmedia 1 0 to 3
18 18 0 specialed 1 4 to 5
19 19 0 otheredprof 3 20+
20 20 0 districtadmin 1 0 to 3
21 21 0 otheredprof 1 0 to 3
22 22 0 schooladmin 1 6 to 10
23 23 0 libmedia 3 20+
24 24 0 instructionaltech 2 11 to 20
25 25 0 instructionaltech 2 11 to 20
26 26 0 otheredprof 3 20+
27 27 0 otheredprof 1 0 to 3
28 28 0 profdev 3 20+
29 29 0 schooladmin 2 11 to 20
30 30 0 schooladmin 3 20+
31 31 0 classteaching 1 4 to 5
32 32 0 profdev 1 6 to 10
33 33 0 instructionaltech 3 20+
34 34 0 curriculum 3 20+
35 35 0 curriculum 2 11 to 20
36 36 0 classteaching 2 11 to 20
37 37 0 curriculum 2 11 to 20
38 38 0 classteaching 1 6 to 10
39 39 0 classteaching 2 11 to 20
40 40 0 districtadmin 3 20+
41 41 0 instructionaltech 1 6 to 10
42 42 0 curriculum 3 20+
43 43 0 profdev 3 20+
44 44 0 instructionaltech 2 11 to 20
45 45 0 districtadmin 2 11 to 20
46 46 0 classteaching 2 11 to 20
47 47 0 profdev 3 20+
48 48 0 schooladmin 3 20+
49 49 0 libmedia 3 20+
50 50 0 schooladmin 3 20+
51 51 0 schooladmin 3 20+
52 52 0 schooladmin 3 20+
53 53 0 instructionaltech 3 20+
54 54 0 otheredprof 2 11 to 20
55 55 0 instructionaltech 1 4 to 5
56 56 0 districtadmin 3 20+
57 57 0 curriculum 3 20+
58 58 0 instructionaltech 2 11 to 20
59 59 0 libmedia 1 0 to 3
60 60 0 classteaching 2 11 to 20
61 61 0 schooladmin 3 20+
62 62 0 classteaching 1 0 to 3
63 63 0 specialed 1 6 to 10
64 64 0 instructionaltech 2 11 to 20
65 65 0 libmedia 2 11 to 20
66 66 0 instructionaltech 2 11 to 20
67 67 0 libmedia 3 20+
68 68 0 libmedia 3 20+
69 69 0 profdev 3 20+
70 70 0 schooladmin 1 6 to 10
71 71 0 districtadmin 3 20+
72 72 0 instructionaltech 2 11 to 20
73 73 0 districtadmin 3 20+
74 74 0 schooladmin 3 20+
75 75 0 classteaching 3 20+
76 76 0 curriculum 3 20+
77 77 0 profdev 2 11 to 20
78 78 0 schooladmin 3 20+
79 79 0 profdev 1 4 to 5
80 80 0 classteaching 2 11 to 20
81 81 0 classteaching 3 20+
82 82 0 classteaching 1 6 to 10
83 83 0 classteaching 3 20+
84 84 0 curriculum 1 6 to 10
85 85 0 classteaching 1 6 to 10
86 86 0 schooladmin 3 20+
87 87 0 libmedia 2 11 to 20
88 88 0 classteaching 1 0 to 3
89 89 0 profdev 3 20+
90 90 0 otheredprof 3 20+
91 91 0 instructionaltech 2 11 to 20
92 92 0 curriculum 3 20+
93 93 0 classteaching 1 6 to 10
94 94 0 classteaching 1 6 to 10
95 95 0 instructionaltech 1 6 to 10
96 96 0 instructionaltech 2 11 to 20
97 97 0 libmedia 1 6 to 10
98 98 0 classteaching 2 11 to 20
99 99 0 instructionaltech 3 20+
100 100 0 instructionaltech 2 11 to 20
101 101 0 instructionaltech 1 4 to 5
102 102 0 classteaching 3 20+
103 103 0 classteaching 2 11 to 20
104 104 0 classteaching 3 20+
105 105 0 techinfrastructure 2 11 to 20
106 106 0 districtadmin 3 20+
107 107 0 instructionaltech 2 11 to 20
108 108 0 classteaching 1 4 to 5
109 109 0 instructionaltech 3 20+
110 110 0 instructionaltech 1 4 to 5
111 111 0 districtadmin 2 11 to 20
112 112 0 districtadmin 2 11 to 20
113 113 0 schooladmin 2 11 to 20
114 114 0 profdev 2 11 to 20
115 115 0 schooladmin 2 11 to 20
116 116 0 classteaching 3 20+
117 117 0 curriculum 1 6 to 10
118 118 0 classteaching 1 6 to 10
119 119 0 libmedia 2 11 to 20
120 120 0 instructionaltech 3 20+
121 121 0 instructionaltech 2 11 to 20
122 122 0 otheredprof 3 20+
123 123 0 curriculum 2 11 to 20
124 124 0 instructionaltech 2 11 to 20
125 125 0 instructionaltech 3 20+
126 126 0 techinfrastructure 2 11 to 20
127 127 0 techinfrastructure 2 11 to 20
128 128 0 curriculum 1 6 to 10
129 129 0 instructionaltech 2 11 to 20
130 130 0 otheredprof 3 20+
131 131 0 profdev 2 11 to 20
132 132 0 instructionaltech 1 6 to 10
133 133 0 techinfrastructure 3 20+
134 134 0 classteaching 1 6 to 10
135 135 0 otheredprof 1 0 to 3
136 136 0 districtadmin 3 20+
137 137 0 districtadmin 3 20+
138 138 0 profdev 2 11 to 20
139 139 0 instructionaltech 2 11 to 20
140 140 0 otheredprof 3 20+
141 141 0 instructionaltech 3 20+
142 142 0 profdev 2 11 to 20
143 143 0 instructionaltech 2 11 to 20
144 144 0 districtadmin 2 11 to 20
145 145 0 classteaching 1 6 to 10
146 146 0 otheredprof 1 6 to 10
147 147 0 classteaching 2 11 to 20
148 148 0 districtadmin 2 20+
149 149 0 instructionaltech 1 6 to 10
150 150 0 profdev 1 6 to 10
151 151 0 techinfrastructure 2 11 to 20
152 152 0 otheredprof 2 11 to 20
153 153 0 schooladmin 1 6 to 10
154 154 0 instructionaltech 3 20+
155 155 0 instructionaltech 3 20+
156 156 0 otheredprof 3 20+
157 157 0 classteaching 1 4 to 5
158 158 0 libmedia 3 20+
159 159 0 instructionaltech 2 11 to 20
160 160 0 curriculum 3 20+
161 161 0 instructionaltech 3 20+
162 162 0 schooladmin 3 20+
163 163 0 other 1 0 to 3
164 164 0 schooladmin 2 11 to 20
165 165 0 profdev 3 20+
166 166 0 techinfrastructure 1 0 to 3
167 167 0 instructionaltech 3 20+
168 168 0 instructionaltech 3 20+
169 169 0 instructionaltech 3 20+
170 170 0 techinfrastructure 1 6 to 10
171 171 0 classteaching 2 11 to 20
172 172 0 otheredprof 2 11 to 20
173 173 0 schooladmin 2 11 to 20
174 174 0 schooladmin 2 11 to 20
175 175 0 curriculum 3 20+
176 176 0 techinfrastructure 2 11 to 20
177 177 0 districtadmin 2 11 to 20
178 178 0 districtadmin 2 11 to 20
179 179 0 instructionaltech 2 11 to 20
180 180 0 otheredprof 3 20+
181 181 0 techinfrastructure 1 6 to 10
182 182 0 otheredprof 1 6 to 10
183 183 0 districtadmin 2 11 to 20
184 184 0 classteaching 1 6 to 10
185 185 0 classteaching 2 11 to 20
186 186 0 techinfrastructure 1 4 to 5
187 187 0 techinfrastructure 2 11 to 20
188 188 0 classteaching 3 20+
189 189 0 schooladmin 3 20+
190 190 0 libmedia 1 4 to 5
191 191 0 classteaching 3 20+
192 192 0 classteaching 3 20+
193 193 0 instructionaltech 2 11 to 20
194 194 0 instructionaltech 3 20+
195 195 0 districtadmin 3 20+
196 196 0 otheredprof 1 0 to 3
197 197 0 districtadmin 3 20+
198 198 0 libmedia 2 11 to 20
199 199 0 schooladmin 3 20+
200 200 0 schooladmin 2 11 to 20
201 201 0 classteaching 1 6 to 10
202 202 0 instructionaltech 2 11 to 20
203 203 0 profdev 3 20+
204 204 0 instructionaltech 2 11 to 20
205 205 0 otheredprof 1 0 to 3
206 206 0 curriculum 2 11 to 20
207 207 0 instructionaltech 1 0 to 3
208 208 0 otheredprof 2 11 to 20
209 209 0 schooladmin 3 20+
210 210 0 Operations 2 6 to 10
211 211 0 otheredprof 2 11 to 20
212 212 0 schooladmin 3 20+
213 213 0 instructionaltech 2 11 to 20
214 214 0 profdev 1 6 to 10
215 215 0 classteaching 1 6 to 10
216 216 0 schooladmin 3 20+
217 217 0 otheredprof 3 20+
218 218 0 otheredprof 1 6 to 10
219 219 0 curriculum 3 20+
220 220 0 profdev 3 20+
221 221 0 specialed 1 6 to 10
222 222 0 otheredprof 3 20+
223 223 0 curriculum 2 11 to 20
224 224 0 instructionaltech 3 20+
225 225 0 otheredprof 3 20+
226 226 0 techinfrastructure 3 20+
227 227 0 classteaching 2 11 to 20
228 228 0 otheredprof 1 0 to 3
229 229 0 instructionaltech 2 11 to 20
230 230 0 districtadmin 3 20+
231 231 0 districtadmin 3 20+
232 232 0 libmedia 3 20+
233 233 0 otheredprof 2 11 to 20
234 234 0 instructionaltech 3 20+
235 235 0 profdev 2 11 to 20
236 236 0 classteaching 1 6 to 10
237 237 0 instructionaltech 2 11 to 20
238 238 0 instructionaltech 1 4 to 5
239 239 0 instructionaltech 1 6 to 10
240 240 0 schooladmin 1 6 to 10
241 241 0 classteaching 1 4 to 5
242 242 0 otheredprof 1 4 to 5
243 243 0 instructionaltech 1 6 to 10
244 244 0 profdev 3 20+
245 245 0 profdev 1 0 to 3
246 246 0 instructionaltech 3 20+
247 247 0 classteaching 2 11 to 20
248 248 0 techinfrastructure 1 0 to 3
249 249 0 instructionaltech 2 11 to 20
250 250 0 instructionaltech 2 11 to 20
251 251 0 instructionaltech 2 11 to 20
252 252 0 schooladmin 2 11 to 20
253 253 0 instructionaltech 3 20+
254 254 0 classteaching 3 20+
255 255 0 instructionaltech 2 11 to 20
256 256 0 instructionaltech 3 20+
257 257 0 otheredprof 3 20+
258 258 0 schooladmin 3 20+
259 259 0 classteaching 3 20+
260 260 0 classteaching 3 20+
261 261 0 instructionaltech 2 11 to 20
262 262 0 classteaching 3 20+
263 263 0 other 2 11 to 20
264 264 0 profdev 2 11 to 20
265 265 0 districtadmin 3 20+
266 266 0 classteaching 1 6 to 10
267 267 0 districtadmin 3 20+
268 268 0 instructionaltech 1 6 to 10
269 269 0 instructionaltech 3 20+
270 270 0 classteaching 1 6 to 10
271 271 0 schooladmin 2 11 to 20
272 272 0 classteaching 3 20+
273 273 0 instructionaltech 3 20+
274 274 0 instructionaltech 3 20+
275 275 0 techinfrastructure 1 0 to 3
276 276 0 techinfrastructure 3 20+
277 277 0 instructionaltech 3 20+
278 278 0 otheredprof 2 11 to 20
279 279 0 specialed 3 20+
280 280 0 districtadmin 3 20+
281 281 0 schooladmin 3 20+
282 282 0 classteaching 1 4 to 5
283 283 0 libmedia 2 11 to 20
284 284 0 instructionaltech 1 6 to 10
285 285 0 classteaching 1 0 to 3
286 286 0 districtadmin 3 20+
287 287 0 districtadmin 1 6 to 10
288 288 0 classteaching 1 4 to 5
289 289 0 schooladmin 2 11 to 20
290 290 0 instructionaltech 3 20+
291 291 0 instructionaltech 1 6 to 10
292 292 0 classteaching 1 0 to 3
293 293 0 instructionaltech 3 20+
294 294 0 other 3 20+
295 295 0 classteaching 1 6 to 10
296 296 0 instructionaltech 3 20+
297 297 0 schooladmin 3 20+
298 298 0 instructionaltech 3 20+
299 299 0 districtadmin 3 20+
300 300 0 schooladmin 2 11 to 20
301 301 0 libmedia 2 11 to 20
302 302 0 classteaching 3 20+
303 303 0 classteaching 3 20+
304 304 0 instructionaltech 1 6 to 10
305 305 0 instructionaltech 3 20+
306 306 0 instructionaltech 1 6 to 10
307 307 0 curriculum 2 11 to 20
308 308 0 classteaching 1 4 to 5
309 309 0 classteaching 1 4 to 5
310 310 0 instructionaltech 2 11 to 20
311 311 0 districtadmin 2 11 to 20
312 312 0 districtadmin 2 11 to 20
313 313 0 classteaching 2 11 to 20
314 314 0 instructionaltech 2 11 to 20
315 315 0 libmedia 3 20+
316 316 0 classteaching 3 20+
317 317 0 otheredprof 3 20+
318 318 0 classteaching 2 11 to 20
319 319 0 districtadmin 2 11 to 20
320 320 0 districtadmin 3 20+
321 321 0 schooladmin 2 11 to 20
322 322 0 schooladmin 1 6 to 10
323 323 0 classteaching 1 6 to 10
324 324 0 schooladmin 3 20+
325 325 0 districtadmin 2 11 to 20
326 326 0 otheredprof 3 20+
327 327 0 classteaching 1 6 to 10
328 328 0 instructionaltech 3 20+
329 329 0 techinfrastructure 2 11 to 20
330 330 0 otheredprof 3 20+
331 331 0 curriculum 2 11 to 20
332 332 0 instructionaltech 1 6 to 10
333 333 0 profdev 1 6 to 10
334 334 0 schooladmin 3 20+
335 335 0 instructionaltech 3 20+
336 336 0 instructionaltech 2 11 to 20
337 337 0 profdev 3 20+
338 338 0 otheredprof 3 20+
339 339 0 classteaching 3 20+
340 340 0 districtadmin 3 20+
341 341 0 classteaching 3 20+
342 342 0 schooladmin 3 20+
343 343 0 classteaching 1 4 to 5
344 344 0 instructionaltech 3 20+
345 345 0 instructionaltech 3 20+
346 346 0 instructionaltech 1 6 to 10
347 347 0 instructionaltech 2 11 to 20
348 348 0 schooladmin 3 20+
349 349 0 instructionaltech 1 0 to 3
350 350 0 schooladmin 2 11 to 20
351 351 0 instructionaltech 2 11 to 20
352 352 0 districtadmin 1 6 to 10
353 353 0 libmedia 1 6 to 10
354 354 0 classteaching 2 11 to 20
355 355 0 schooladmin 2 11 to 20
356 356 0 instructionaltech 2 11 to 20
357 357 0 classteaching 3 20+
358 358 0 schooladmin 3 20+
359 359 0 instructionaltech 3 20+
360 360 0 instructionaltech 1 0 to 3
361 361 0 profdev 3 20+
362 362 0 instructionaltech 2 11 to 20
363 363 0 curriculum 3 20+
364 364 0 otheredprof 3 20+
365 365 0 libmedia 2 11 to 20
366 366 0 profdev 2 11 to 20
367 367 0 profdev 1 0 to 3
368 368 0 instructionaltech 2 11 to 20
369 369 0 otheredprof 3 20+
370 370 0 otheredprof 3 20+
371 371 0 instructionaltech 2 11 to 20
372 372 0 instructionaltech 3 20+
373 373 0 instructionaltech 1 6 to 10
374 374 0 classteaching 2 11 to 20
375 375 0 instructionaltech 3 20+
376 376 0 classteaching 2 11 to 20
377 377 0 instructionaltech 2 11 to 20
378 378 0 districtadmin 1 6 to 10
379 379 0 otheredprof 2 11 to 20
380 380 0 districtadmin 3 20+
381 381 0 schooladmin 2 11 to 20
382 382 0 curriculum 2 11 to 20
383 383 0 districtadmin 3 20+
384 384 0 instructionaltech 2 11 to 20
385 385 0 districtadmin 3 20+
386 386 0 instructionaltech 2 11 to 20
387 387 0 instructionaltech 3 20+
388 388 0 instructionaltech 2 11 to 20
389 389 0 curriculum 3 20+
390 390 0 libmedia 1 6 to 10
391 391 0 curriculum 3 20+
392 392 0 techinfrastructure 3 20+
393 393 0 instructionaltech 2 11 to 20
394 394 0 instructionaltech 1 6 to 10
395 395 0 districtadmin 2 11 to 20
396 396 0 curriculum 2 11 to 20
397 397 0 otheredprof 1 4 to 5
398 398 0 curriculum 1 6 to 10
399 399 0 curriculum 2 11 to 20
400 400 0 classteaching 3 20+
401 401 0 techinfrastructure 2 11 to 20
402 402 0 schooladmin 2 11 to 20
403 403 0 instructionaltech 3 20+
404 404 0 otheredprof 1 6 to 10
405 405 0 districtadmin 1 4 to 5
406 406 0 instructionaltech 2 11 to 20
407 407 0 instructionaltech 3 20+
408 408 0 techinfrastructure 3 20+
409 409 0 instructionaltech 1 6 to 10
410 410 0 curriculum 1 4 to 5
411 411 0 instructionaltech 3 20+
412 412 0 specialed 1 6 to 10
413 413 0 instructionaltech 3 20+
414 414 0 instructionaltech 2 11 to 20
415 415 0 profdev 3 20+
416 416 0 libmedia 2 11 to 20
417 417 0 classteaching 2 11 to 20
418 418 0 instructionaltech 2 11 to 20
419 419 0 classteaching 3 20+
420 420 0 districtadmin 2 11 to 20
421 421 0 instructionaltech 2 11 to 20
422 422 0 profdev 2 11 to 20
423 423 0 curriculum 3 20+
424 424 0 libmedia 2 11 to 20
425 425 0 districtadmin 3 20+
426 426 0 districtadmin 1 6 to 10
427 427 0 libmedia 3 20+
428 428 0 otheredprof 3 20+
429 429 0 instructionaltech 1 0 to 3
430 430 0 instructionaltech 2 11 to 20
431 431 0 classteaching 2 11 to 20
432 432 0 instructionaltech 1 6 to 10
433 433 0 curriculum 3 20+
434 434 0 instructionaltech 1 20+
435 435 0 instructionaltech 1 20+
436 436 0 profdev 2 11 to 20
437 437 0 instructionaltech 1 20+
438 438 0 instructionaltech 1 11 to 20
439 439 0 NULL 1 NULL
440 440 0 profdev 2 11 to 20
441 441 0 libmedia 3 20+
442 442 0 districtadmin 3 20+
443 443 0 instructionaltech 2 11 to 20
444 444 1 otheredprof 3 20+
445 445 1 otheredprof 3 20+
grades location region country group gender expert
1 secondary VA South US UZ female 0
2 secondary FL South US DL female 0
3 generalist PA Northeast US OT female 0
4 middle NC South US N female 0
5 generalist AL South US AC female 0
6 generalist AL South US AC female 0
7 generalist SD Midwest US OT female 0
8 secondary BE International BE AC female 0
9 middle NC South US N female 0
10 middle NC South US N male 0
11 generalist KG International KG DL female 0
12 secondary AL South US AC female 0
13 middle CA West US AC female 0
14 middle NC South US N female 0
15 secondary WV South US UZ female 0
16 middle ES International ES DL male 0
17 primary NC South US N female 0
18 middle FL South US DL female 0
19 college AU International AU AC male 0
20 generalist MI Midwest US M male 0
21 generalist NC South US N female 0
22 secondary FL South US DL male 0
23 middle NC South US N female 0
24 generalist IN Midwest US DL female 0
25 generalist IL Midwest US DL female 0
26 primary TX South US OT female 0
27 generalist IA Midwest US DL female 0
28 middle ME Northeast US M female 1
29 generalist AL South US AC female 0
30 secondary NC South US N female 0
31 generalist CA West US AC male 0
32 primary CA West US AC female 0
33 generalist CA West US AC male 0
34 primary AL South US AC female 0
35 college SD Midwest US OT male 0
36 secondary UT West US UZ female 0
37 secondary CA West US AC male 0
38 secondary ME Northeast US M male 0
39 secondary NC South US N female 0
40 generalist AZ West US AC female 0
41 generalist PA Northeast US OT male 1
42 generalist PA Northeast US OT male 1
43 secondary MA Northeast US M female 1
44 middle NC South US N male 0
45 generalist NM West US N female 0
46 primary NH Northeast US N female 0
47 generalist MA Northeast US M female 1
48 middle KS Midwest US DL male 1
49 generalist ME Northeast US M female 0
50 primary VA South US UZ female 0
51 primary VA South US UZ male 0
52 primary NH Northeast US N male 0
53 primary MA Northeast US M female 0
54 primary VT Northeast US UZ female 0
55 generalist NC South US N female 0
56 generalist PA Northeast US OT female 1
57 generalist KS Midwest US DL female 0
58 generalist NG International NG N female 0
59 primary PA Northeast US OT female 0
60 middle NC South US N female 0
61 primary NC South US N female 0
62 generalist NJ Northeast US N female 0
63 secondary WV South US UZ female 0
64 generalist NH Northeast US N female 0
65 secondary NH Northeast US N female 0
66 secondary NC South US N female 0
67 primary NC South US N female 0
68 generalist ISL International IL DL female 0
69 generalist NJ Northeast US N female 0
70 middle NC South US N female 0
71 generalist WA West US UZ female 0
72 primary VA South US UZ female 0
73 primary SC South US OT female 0
74 generalist VT Northeast US UZ female 0
75 secondary VT Northeast US UZ female 0
76 generalist KS Midwest US DL female 0
77 generalist VA South US UZ female 0
78 secondary TH International TH OT female 0
79 generalist MN Midwest US M female 0
80 middle VA South US UZ female 0
81 primary WA West US UZ female 0
82 middle VA South US UZ female 0
83 primary ME Northeast US M female 0
84 generalist PA Northeast US OT female 0
85 generalist NC South US N female 0
86 middle NH Northeast US N male 0
87 generalist NH Northeast US N female 0
88 secondary MO Midwest US M male 0
89 generalist MI Midwest US M female 0
90 generalist MI Midwest US M female 0
91 secondary MN Midwest US M male 0
92 primary KS Midwest US DL male 0
93 secondary AL South US AC male 0
94 middle CA West US AC male 0
95 secondary CT Northeast US AC female 0
96 secondary NC South US N female 0
97 primary AL South US AC female 0
98 primary NC South US N female 0
99 generalist CA West US AC male 0
100 generalist NC South US N male 0
101 primary NC South US N female 0
102 generalist RI Northeast US OT female 0
103 middle RI Northeast US OT male 0
104 middle ME Northeast US M female 0
105 primary NC South US N male 0
106 generalist NC South US N male 0
107 generalist NC South US N female 0
108 secondary RI Northeast US OT female 0
109 primary TX South US OT female 0
110 middle NC South US N male 0
111 generalist SC South US OT female 0
112 generalist WI Midwest US UZ male 0
113 secondary CA West US AC female 0
114 secondary ZA International ZA UZ male 0
115 middle PA Northeast US OT female 0
116 college SD Midwest US OT female 0
117 generalist SC South US OT female 0
118 college ZA International ZA UZ male 0
119 middle TX South US OT female 0
120 generalist OH Midwest US OT female 0
121 generalist VA South US UZ male 0
122 generalist AL South US AC female 0
123 generalist TX South US OT female 0
124 generalist SC South US OT male 0
125 generalist PA Northeast US OT female 0
126 generalist PA Northeast US OT male 0
127 generalist AL South US AC male 0
128 college RU International RU OT female 0
129 primary OH Midwest US OT female 0
130 generalist RI Northeast US OT female 0
131 generalist NC South US N female 0
132 generalist MI Midwest US M female 0
133 secondary NC South US N male 0
134 secondary NC South US N male 0
135 generalist TX South US OT female 0
136 generalist RI Northeast US OT male 0
137 generalist OR West US OT male 0
138 generalist VT Northeast US UZ female 0
139 generalist VA South US UZ female 0
140 generalist GB International GB DL female 0
141 secondary WA West US UZ female 0
142 generalist AL South US AC female 0
143 generalist NJ Northeast US N female 0
144 generalist VA South US UZ male 0
145 middle OH Midwest US OT female 0
146 secondary CA West US AC female 0
147 secondary ME Northeast US M female 0
148 generalist TX South US OT female 1
149 generalist OH Midwest US OT male 0
150 generalist TX South US OT male 0
151 generalist RI Northeast US OT male 0
152 generalist VT Northeast US UZ male 0
153 secondary WY West US UZ male 0
154 secondary MN Midwest US M female 0
155 generalist VA South US UZ female 0
156 primary ME Northeast US M female 0
157 middle AL South US AC male 0
158 middle WI Midwest US UZ female 0
159 secondary VT Northeast US UZ male 0
160 generalist WI Midwest US UZ female 0
161 primary NC South US N female 0
162 generalist NC South US N female 0
163 generalist NH Northeast US N male 0
164 secondary TX South US OT male 0
165 generalist RI Northeast US OT female 0
166 generalist RI Northeast US OT female 0
167 generalist DC South US DL male 0
168 generalist IA Midwest US DL female 0
169 generalist LA Northeast US DL female 0
170 generalist IL Midwest US DL male 0
171 generalist IN Midwest US DL male 0
172 college JM International JM DL female 0
173 secondary AK West US AC male 0
174 secondary CAN International CA AC male 0
175 generalist VT Northeast US UZ female 0
176 generalist VT Northeast US UZ male 0
177 generalist NJ Northeast US N female 1
178 secondary MN Midwest US M male 0
179 generalist AL South US AC male 0
180 college AU International AU AC male 0
181 generalist OR West US OT female 0
182 generalist VA South US UZ female 0
183 generalist AL South US AC male 0
184 secondary NH Northeast US N male 0
185 secondary VA South US UZ female 0
186 secondary IL Midwest US DL female 0
187 generalist CA West US AC male 0
188 secondary PA Northeast US OT male 0
189 middle CAN International CA AC female 0
190 middle CAN International CA AC female 0
191 middle BR International BR AC female 0
192 middle ME Northeast US M female 0
193 generalist NY Northeast US N female 0
194 generalist NC South US N female 0
195 generalist NC South US N female 0
196 secondary DC South US DL female 0
197 generalist AZ West US AC female 1
198 primary VA South US UZ female 0
199 middle NJ Northeast US N female 0
200 middle OH Midwest US OT female 0
201 middle ME Northeast US M female 0
202 primary VA South US UZ female 0
203 generalist IA Midwest US DL female 0
204 generalist WY West US UZ female 0
205 generalist AL South US AC female 0
206 generalist MT West US M male 0
207 secondary NC South US N male 0
208 generalist NJ Northeast US N male 0
209 secondary WI Midwest US UZ male 0
210 generalist RI Northeast US OT male 1
211 generalist DC South US DL male 1
212 secondary NH Northeast US N male 0
213 generalist NY Northeast US N female 0
214 middle ME Northeast US M female 0
215 secondary ME Northeast US M female 0
216 middle NC South US N female 0
217 generalist CA West US AC male 0
218 generalist DC South US DL male 0
219 secondary AL South US AC female 0
220 generalist OR West US OT female 0
221 secondary NY Northeast US N female 0
222 secondary CT Northeast US AC male 0
223 generalist AZ West US AC male 0
224 generalist OK Midwest US OT female 0
225 generalist AL South US AC female 0
226 generalist ME Northeast US M male 0
227 middle ME Northeast US M female 0
228 generalist AL South US AC male 1
229 primary CAN International CA AC male 0
230 generalist SC South US OT female 0
231 generalist VA South US UZ female 0
232 secondary WV South US UZ female 0
233 generalist FL South US DL female 0
234 generalist IA Midwest US DL female 0
235 generalist FL South US DL female 0
236 primary IN Midwest US DL female 0
237 middle ID West US DL male 0
238 generalist KS Midwest US DL male 0
239 generalist ID West US DL male 0
240 secondary LA South US DL female 0
241 generalist DEN International DE DL female 0
242 college JM International JM DL female 0
243 secondary IL Midwest US DL male 0
244 generalist DC South US DL female 0
245 generalist FL South US DL female 0
246 primary WI Midwest US UZ female 0
247 secondary MI Midwest US M male 0
248 generalist IL Midwest US DL male 0
249 generalist MO Midwest US M female 0
250 generalist NC South US N female 0
251 middle CO West US AC male 0
252 secondary NC South US N male 0
253 generalist MA Northeast US M female 0
254 primary MN Midwest US M female 0
255 generalist ME Northeast US M female 0
256 generalist ME Northeast US M female 0
257 generalist CA West US AC male 0
258 middle AL South US AC male 0
259 primary NC South US N female 0
260 primary NH Northeast US N male 0
261 secondary NC South US N female 0
262 primary RI Northeast US OT female 0
263 secondary FL South US DL female 0
264 primary CO West US AC female 0
265 generalist WI Midwest US UZ male 0
266 secondary WI Midwest US UZ female 0
267 generalist AL South US AC male 0
268 generalist TX South US OT female 0
269 middle AL South US AC female 0
270 secondary PA Northeast US OT female 0
271 primary NC South US N female 0
272 secondary CA West US AC male 0
273 generalist VA South US UZ female 0
274 primary TX South US OT female 0
275 generalist NH Northeast US N male 0
276 generalist VA South US UZ male 0
277 generalist CA West US AC female 1
278 secondary CA West US AC female 0
279 middle NH Northeast US N female 0
280 generalist MN Midwest US M male 0
281 secondary ME Northeast US M male 0
282 primary MO Midwest US M female 0
283 middle NC South US N female 0
284 generalist NC South US N male 0
285 secondary WV South US UZ male 0
286 generalist VT Northeast US UZ female 0
287 generalist MA Northeast US M female 0
288 secondary CAN International CA AC male 0
289 secondary OH Midwest US OT female 0
290 generalist KS Midwest US DL female 0
291 secondary NC South US N female 0
292 primary NJ Northeast US N female 0
293 secondary AL South US AC female 1
294 secondary FL South US DL male 0
295 secondary COL International CO AC male 0
296 college CAN International CA AC male 0
297 primary NC South US N male 0
298 primary NC South US N female 0
299 generalist PA Northeast US OT male 0
300 secondary WI Midwest US UZ male 0
301 generalist WI Midwest US UZ female 0
302 secondary NC South US N female 0
303 secondary NC South US N female 0
304 college NJ Northeast US N female 0
305 generalist WI Midwest US UZ female 0
306 generalist NC South US N male 0
307 generalist WI Midwest US UZ female 0
308 secondary NY Northeast US N female 0
309 secondary GB International GB DL female 0
310 college GB International GB DL male 0
311 generalist CT Northeast US AC male 0
312 generalist CT Northeast US AC female 0
313 secondary CA West US AC female 0
314 primary AZ West US AC female 0
315 secondary CA West US AC female 0
316 secondary CAN International CA AC female 0
317 generalist CA West US AC male 0
318 secondary MO Midwest US M female 0
319 generalist WI Midwest US UZ male 0
320 generalist VA South US UZ female 0
321 primary NC South US N male 0
322 generalist VA South US UZ male 0
323 secondary CT Northeast US AC female 0
324 secondary VA South US UZ female 0
325 generalist NC South US N male 1
326 secondary NC South US N female 0
327 primary PA Northeast US OT male 0
328 generalist MO Midwest US M male 0
329 generalist MO Midwest US M male 0
330 college OR West US OT female 0
331 generalist CA West US AC male 0
332 generalist TN South US OT female 0
333 primary AL South US AC female 0
334 secondary NC South US N female 0
335 secondary VA South US UZ female 0
336 primary NC South US N female 0
337 secondary NY Northeast US N male 0
338 generalist AL South US AC female 0
339 secondary VA South US UZ female 0
340 generalist SC South US OT female 0
341 secondary NY Northeast US N female 0
342 generalist CAN International CA AC male 0
343 primary TX South US OT female 0
344 generalist OH Midwest US OT female 0
345 primary VA South US UZ female 0
346 secondary AL South US AC male 0
347 middle NC South US N male 0
348 secondary NC South US N female 0
349 primary NY Northeast US N female 0
350 middle ME Northeast US M male 0
351 generalist WA West US UZ male 0
352 generalist OH Midwest US OT female 0
353 middle NH Northeast US N female 0
354 secondary NC South US N female 0
355 secondary KS Midwest US DL female 0
356 generalist IL Midwest US DL female 0
357 secondary NC South US N female 0
358 primary NY Northeast US N female 0
359 generalist MA Northeast US M female 0
360 generalist NC South US N female 0
361 generalist NC South US N female 0
362 secondary KS Midwest US DL female 0
363 secondary IL Midwest US DL male 0
364 generalist IN International IN DL male 0
365 college NC South US N female 0
366 generalist NZ International NZ N female 0
367 college NY Northeast US N female 0
368 secondary NH Northeast US N female 0
369 college PA Northeast US OT female 0
370 generalist NC South US N female 0
371 generalist NM West US N female 0
372 generalist NC South US N female 0
373 primary NY Northeast US N female 0
374 secondary NC South US N female 0
375 NULL AL South US AC female 0
376 secondary NH Northeast US N female 0
377 generalist NC South US N male 0
378 generalist NC South US N male 0
379 secondary NC South US N female 0
380 secondary NJ Northeast US N female 0
381 generalist NJ Northeast US N female 0
382 secondary NC South US N female 0
383 generalist NC South US N female 0
384 generalist GA South US DL female 0
385 generalist TX South US OT female 0
386 generalist TH International TH OT female 0
387 generalist OH Midwest US OT female 0
388 generalist TX South US OT male 0
389 generalist PA Northeast US OT female 0
390 primary RI Northeast US OT female 0
391 primary TX South US OT female 0
392 generalist AL South US AC male 0
393 middle WY West US UZ female 0
394 generalist WI Midwest US UZ male 0
395 generalist WY West US UZ female 0
396 generalist WI Midwest US UZ male 0
397 generalist WI Midwest US UZ female 0
398 middle MD South US M female 0
399 generalist MA Northeast US M female 0
400 college MX International MX M male 0
401 secondary MA International MA M female 0
402 generalist MN Midwest US M male 0
403 generalist MI Midwest US M female 0
404 primary MO Midwest US M female 0
405 generalist MA Northeast US M male 0
406 generalist MI Midwest US M female 0
407 secondary ME Northeast US M female 0
408 generalist MO Midwest US M male 0
409 generalist NC South US N female 0
410 generalist NM West US N female 0
411 generalist OR West US OT female 0
412 generalist VA South US UZ female 0
413 generalist SC South US OT female 0
414 generalist AZ West US AC female 0
415 generalist AR South US AC male 0
416 secondary CA West US AC female 0
417 generalist NJ Northeast US N female 0
418 generalist NH Northeast US N female 0
419 secondary NC South US N female 0
420 generalist MA Northeast US M female 0
421 generalist MN Midwest US M female 0
422 generalist NC South US N female 0
423 generalist VT Northeast US UZ male 0
424 primary CO West US AC female 0
425 generalist PA Northeast US OT male 0
426 generalist OH Midwest US OT female 0
427 generalist WI Midwest US UZ female 0
428 primary MA Northeast US M female 0
429 generalist NM West US N male 0
430 generalist NM West US N female 0
431 middle NH Northeast US N female 0
432 secondary NC South US N female 0
433 curriculum AL South US AC female 0
434 generalist MO Midwest US M female 1
435 high MA Northeast US M male 1
436 generalist NC South US N male 0
437 generalist MO Midwest US M female 1
438 generalist OR West US OT male 1
439 NULL NULL NULL NULL NULL NULL NULL
440 secondary NC South US N female 0
441 middle TX South US OT female 0
442 generalist SC South US OT female 0
443 generalist NY Northeast US N female 0
444 generalist NC South US N male 0
445 generalist NC South US N female 0
connect strong_component size in_degree out_degree community
1 1 1 33 20 33 4
2 0 1 8 2 5 5
3 1 1 7 2 4 5
4 0 1 13 2 14 7
5 0 1 21 16 17 2
6 1 1 23 9 24 3
7 0 1 42 32 26 2
8 0 1 17 13 18 2
9 0 1 9 2 12 1
10 0 1 14 8 12 7
11 1 1 51 47 74 3
12 0 1 16 6 18 2
13 0 1 27 20 15 3
14 0 1 19 5 20 3
15 0 1 26 13 18 7
16 0 1 4 2 1 7
17 0 1 20 2 22 3
18 0 194 17 0 19 3
19 1 1 39 44 35 5
20 0 1 3 1 2 5
21 0 203 3 2 0 3
22 0 1 14 8 15 1
23 0 209 7 6 0 3
24 1 1 34 21 36 3
25 0 1 7 6 6 3
26 0 1 26 22 12 3
27 0 1 25 13 18 1
28 0 193 2 0 1 7
29 0 1 26 12 23 7
30 1 1 42 32 58 7
31 1 192 2 0 1 7
32 0 1 13 11 4 7
33 0 1 17 17 6 8
34 0 1 24 17 22 3
35 0 1 16 15 19 7
36 1 1 37 26 21 7
37 0 1 10 7 4 7
38 1 1 9 7 2 8
39 1 1 13 5 13 4
40 0 191 2 0 1 4
41 1 1 24 29 6 4
42 0 1 14 10 9 7
43 1 1 7 1 7 4
44 1 1 61 47 70 4
45 0 1 4 1 2 3
46 0 1 12 2 9 4
47 0 190 6 0 5 4
48 0 1 5 2 4 7
49 0 1 29 19 23 4
50 0 1 21 16 14 2
51 0 1 10 6 13 2
52 0 1 14 4 13 3
53 0 1 30 19 16 3
54 0 1 31 14 28 2
55 0 189 4 0 4 2
56 1 1 18 4 20 2
57 0 1 7 7 4 3
58 0 1 25 23 16 3
59 0 1 18 7 14 6
60 0 1 39 25 40 3
61 0 1 34 29 24 2
62 0 1 24 16 17 3
63 0 1 19 11 25 3
64 0 1 34 26 19 3
65 0 1 3 1 2 3
66 0 1 9 4 4 1
67 0 1 26 21 9 5
68 1 1 30 21 40 3
69 0 1 10 4 6 4
70 0 1 5 3 1 3
71 0 1 8 1 12 2
72 0 1 6 3 3 8
73 0 188 3 0 2 8
74 0 1 14 6 10 3
75 0 1 10 3 7 7
76 0 1 6 1 4 3
77 1 1 9 3 8 2
78 1 1 6 3 3 8
79 0 187 5 0 4 8
80 1 1 8 1 6 3
81 0 1 10 3 6 2
82 0 1 8 1 6 1
83 0 1 12 1 13 4
84 0 208 6 5 0 4
85 0 1 8 1 6 4
86 0 186 2 0 1 4
87 0 1 10 3 9 4
88 0 1 19 16 14 8
89 0 185 2 0 1 8
90 0 1 4 1 3 8
91 0 1 13 7 11 8
92 0 1 21 17 16 3
93 0 184 4 1 2 8
94 0 1 7 6 1 1
95 0 182 7 4 3 1
96 0 181 9 0 12 1
97 0 179 6 0 5 1
98 0 1 20 16 12 3
99 1 1 7 3 3 8
100 0 1 24 22 7 4
101 0 1 12 9 3 4
102 0 178 5 0 6 2
103 0 1 11 5 9 6
104 0 1 20 6 15 8
105 0 1 6 2 3 8
106 0 1 6 2 4 4
107 0 1 16 4 15 4
108 1 177 5 0 4 4
109 0 1 17 4 18 4
110 0 1 5 2 2 5
111 0 176 2 0 1 5
112 0 1 6 3 2 4
113 0 1 10 4 6 5
114 1 1 11 6 5 2
115 0 1 19 20 6 6
116 0 1 28 32 3 6
117 0 1 7 5 1 3
118 0 1 5 1 5 6
119 0 1 8 5 2 6
120 0 175 4 1 2 6
121 0 1 10 1 10 7
122 1 1 4 2 1 6
123 0 170 6 0 5 6
124 0 169 3 0 2 6
125 0 168 2 0 1 6
126 1 167 3 0 3 1
127 0 166 3 0 2 6
128 0 1 15 10 14 6
129 0 1 10 6 8 6
130 1 165 2 0 1 6
131 0 1 5 1 4 1
132 1 1 7 4 2 1
133 1 1 7 2 7 1
134 0 164 3 0 2 1
135 0 163 3 0 2 6
136 0 1 15 12 13 6
137 0 1 22 22 8 6
138 0 1 7 3 6 2
139 0 162 5 0 4 7
140 0 160 4 0 3 1
141 0 1 5 2 3 1
142 0 1 11 5 9 1
143 1 159 5 0 6 6
144 0 1 13 9 12 3
145 0 174 3 1 1 6
146 0 183 4 1 2 1
147 0 158 14 1 12 8
148 1 157 8 0 8 2
149 1 156 2 0 1 1
150 0 173 4 2 2 1
151 1 172 3 1 1 6
152 0 1 6 3 2 1
153 0 206 4 3 0 1
154 0 1 9 4 6 1
155 0 1 15 9 9 8
156 0 1 4 1 2 8
157 0 1 9 3 8 2
158 0 1 10 8 7 1
159 0 1 6 1 4 7
160 0 155 4 0 3 1
161 0 1 13 6 12 5
162 0 1 6 4 3 6
163 0 1 10 2 10 7
164 0 154 2 0 1 6
165 0 1 9 3 5 6
166 0 153 6 0 6 2
167 1 1 13 11 3 1
168 0 152 3 0 2 1
169 0 151 4 0 5 1
170 0 1 7 2 7 1
171 0 150 5 1 6 1
172 0 1 6 2 6 1
173 0 1 9 3 6 5
174 0 149 3 1 1 5
175 1 202 6 5 0 2
176 0 1 11 6 8 3
177 1 1 12 9 6 3
178 0 1 6 3 5 8
179 0 148 6 0 6 1
180 0 147 2 0 1 1
181 0 1 3 2 1 1
182 0 201 11 10 0 2
183 0 1 12 3 9 2
184 0 1 11 3 9 3
185 0 1 13 1 13 2
186 0 146 3 0 2 1
187 0 195 4 3 0 1
188 0 1 4 1 3 1
189 0 198 4 3 0 5
190 0 1 5 1 4 2
191 0 1 4 1 3 7
192 0 1 16 16 2 7
193 0 1 13 11 11 3
194 1 1 7 5 1 4
195 1 1 12 8 4 4
196 0 145 6 0 5 4
197 1 1 8 1 6 2
198 0 1 23 20 16 2
199 0 1 12 6 8 8
200 1 1 4 2 3 1
201 0 1 16 11 11 4
202 0 144 13 0 13 3
203 0 1 11 10 2 4
204 0 143 3 0 2 4
205 0 1 14 5 12 8
206 1 1 4 1 2 1
207 1 1 15 9 7 5
208 0 1 8 5 2 3
209 0 1 4 2 1 4
210 0 142 3 0 2 3
211 1 1 9 6 4 3
212 0 1 8 5 7 3
213 0 141 2 0 1 3
214 0 140 3 0 2 4
215 1 139 5 0 5 2
216 0 1 7 5 2 5
217 1 1 9 7 6 5
218 0 1 6 3 2 7
219 0 1 24 17 13 8
220 0 138 2 0 1 5
221 0 1 11 8 2 4
222 0 1 2 1 1 5
223 0 1 21 24 15 5
224 0 137 3 0 2 5
225 1 136 2 0 1 5
226 0 1 14 7 8 2
227 0 1 2 1 1 5
228 0 135 3 0 2 5
229 0 134 2 0 1 7
230 0 132 4 0 3 6
231 1 131 7 0 7 6
232 0 130 4 0 3 7
233 0 129 2 0 1 1
234 0 204 28 37 0 1
235 0 1 4 1 3 1
236 0 128 3 0 3 1
237 0 127 2 0 1 1
238 0 126 2 0 2 1
239 0 161 4 1 2 1
240 0 125 3 0 2 1
241 0 124 3 0 3 1
242 0 123 4 0 4 1
243 0 1 8 5 3 1
244 0 122 2 0 1 1
245 1 120 4 0 3 1
246 0 1 5 1 5 1
247 0 1 8 2 6 7
248 0 1 8 6 3 4
249 0 1 9 5 7 8
250 0 1 5 1 3 5
251 0 1 5 4 1 7
252 0 1 4 2 1 1
253 0 1 3 2 1 1
254 0 1 3 1 1 8
255 0 119 3 0 2 8
256 0 1 6 3 2 8
257 0 1 5 3 1 8
258 0 180 5 1 4 1
259 0 118 4 0 3 3
260 0 116 2 0 1 1
261 1 117 3 1 1 1
262 0 1 4 2 2 2
263 0 121 2 1 0 1
264 0 115 3 0 2 7
265 0 1 5 3 1 2
266 0 1 6 1 4 2
267 0 114 3 0 2 2
268 0 1 9 7 2 3
269 0 113 4 0 3 6
270 0 1 2 1 1 6
271 0 1 4 2 2 1
272 0 1 2 1 1 5
273 1 199 5 4 0 3
274 0 112 2 0 1 4
275 0 1 5 1 4 2
276 0 1 4 1 4 1
277 0 1 5 1 5 2
278 1 111 6 0 5 5
279 0 1 11 8 4 5
280 0 110 3 0 3 1
281 0 1 8 5 3 8
282 0 109 2 0 1 1
283 0 107 2 0 1 1
284 0 108 3 1 1 1
285 1 1 6 2 4 4
286 0 200 3 2 0 3
287 0 1 5 3 1 6
288 1 106 3 0 2 6
289 0 105 4 0 3 5
290 0 104 2 0 1 6
291 0 103 2 0 1 6
292 0 1 3 1 1 3
293 1 1 4 2 1 5
294 1 102 2 0 1 1
295 0 1 6 4 1 1
296 0 101 2 0 1 1
297 1 100 3 0 2 1
298 0 99 4 0 3 5
299 0 98 3 0 2 4
300 0 1 16 12 3 8
301 0 1 12 11 3 2
302 0 1 4 1 4 1
303 0 1 8 5 2 4
304 0 97 3 0 2 4
305 0 1 3 1 1 7
306 0 197 5 4 0 2
307 0 1 5 3 3 2
308 0 207 9 8 0 3
309 0 96 2 0 1 2
310 0 1 24 29 1 5
311 0 95 2 0 1 5
312 0 94 2 0 1 5
313 0 93 2 0 1 5
314 0 92 3 0 2 5
315 0 91 3 0 2 5
316 0 90 2 0 1 5
317 0 1 5 1 5 5
318 0 1 4 2 2 1
319 0 1 5 2 2 7
320 0 89 4 0 3 3
321 0 1 3 1 1 7
322 0 1 6 4 1 7
323 0 1 3 1 2 2
324 0 205 5 4 0 2
325 0 1 3 1 1 8
326 1 88 4 0 3 8
327 0 87 2 0 1 8
328 0 86 2 0 1 7
329 0 1 7 3 6 1
330 0 171 4 1 2 6
331 0 1 4 2 4 1
332 1 85 2 0 1 6
333 0 84 3 0 2 8
334 0 196 3 2 0 3
335 0 1 6 4 2 2
336 0 1 13 9 3 2
337 1 1 5 3 1 6
338 0 1 3 1 3 1
339 0 1 3 1 1 2
340 0 1 4 1 2 1
341 1 1 10 9 2 5
342 0 1 5 3 1 1
343 0 1 3 1 1 1
344 0 133 3 1 1 6
345 0 1 4 2 1 7
346 0 1 3 1 2 1
347 1 1 6 2 3 2
348 0 83 2 0 1 2
349 0 82 2 0 1 2
350 0 1 7 5 1 8
351 0 1 5 5 1 3
352 0 81 2 0 1 5
353 0 80 3 0 2 4
354 0 79 4 0 3 4
355 0 1 3 1 3 1
356 0 1 5 3 2 1
357 0 78 3 0 2 2
358 0 1 3 1 1 3
359 0 77 2 0 1 4
360 0 76 5 0 4 2
361 1 1 21 1 20 8
362 0 75 2 0 1 1
363 0 74 2 0 1 1
364 0 73 2 0 1 1
365 0 72 2 0 1 1
366 0 71 2 0 2 1
367 0 70 2 0 1 1
368 0 69 2 0 1 1
369 0 68 2 0 1 1
370 0 67 2 0 1 4
371 0 66 2 0 1 1
372 0 65 2 0 1 1
373 0 64 2 0 1 1
374 0 63 2 0 1 1
375 0 62 2 0 1 1
376 0 61 3 0 3 1
377 0 60 3 0 2 2
378 0 59 3 0 2 2
379 0 58 3 0 2 2
380 0 57 2 0 1 1
381 0 56 2 0 1 1
382 0 55 3 0 2 2
383 0 54 2 0 1 1
384 1 53 2 0 1 1
385 0 52 2 0 1 1
386 0 51 2 0 1 1
387 1 50 2 0 1 1
388 0 49 3 0 2 2
389 0 48 2 0 1 1
390 0 47 2 0 1 1
391 0 46 2 0 1 1
392 0 45 2 0 1 1
393 0 44 2 0 1 1
394 0 43 2 0 1 1
395 0 42 2 0 1 1
396 0 41 2 0 1 1
397 0 40 3 0 3 1
398 0 39 2 0 1 1
399 0 38 3 0 2 2
400 1 37 2 0 1 1
401 0 36 2 0 1 1
402 0 35 2 0 1 1
403 0 34 3 0 2 2
404 0 33 2 0 1 1
405 0 32 2 0 1 1
406 0 31 3 0 3 1
407 0 30 2 0 1 1
408 0 29 2 0 1 1
409 0 28 3 0 2 2
410 1 27 3 0 3 2
411 1 26 2 0 1 1
412 0 25 2 0 1 1
413 1 1 2 1 1 1
414 0 24 2 0 1 1
415 0 23 2 0 2 1
416 0 22 2 0 1 2
417 0 21 2 0 1 2
418 0 20 2 0 1 2
419 0 19 2 0 1 2
420 0 18 2 0 1 2
421 0 17 2 0 1 2
422 1 1 4 3 1 3
423 0 16 2 0 1 2
424 0 15 2 0 1 1
425 1 14 2 0 1 1
426 0 13 2 0 1 1
427 0 12 2 0 1 1
428 0 11 2 0 1 1
429 1 10 2 0 1 1
430 0 9 2 0 1 1
431 0 8 2 0 1 1
432 0 1 36 5 38 3
433 0 1 2 1 1 2
434 0 1 4 1 2 3
435 0 7 2 0 1 2
436 0 6 2 0 1 2
437 0 1 2 1 1 7
438 0 1 3 1 1 7
439 NULL 1 2 1 1 1
440 0 5 2 0 1 1
441 0 4 1 0 0 9
442 0 3 1 0 0 10
443 0 2 1 0 0 11
444 0 1 295 475 106 1
445 0 1 160 276 56 2
degree_c betweenness_c closeness_c
1 53 9.997258e-03 0.197508897
2 7 9.338289e-05 0.172628305
3 6 1.332240e-04 0.171627368
4 16 2.173936e-04 0.191709845
5 33 4.915016e-03 0.194907814
6 33 4.110439e-03 0.196113074
7 58 1.514472e-02 0.198835647
8 31 1.092029e-03 0.194907814
9 14 6.887348e-05 0.193295603
10 20 4.643416e-03 0.194736842
11 121 1.357036e-02 0.200814111
12 24 4.039876e-04 0.181669394
13 35 3.087664e-03 0.194140796
14 25 2.642207e-04 0.194993412
15 31 1.926153e-03 0.196460177
16 3 1.508410e-05 0.167610419
17 24 6.282821e-04 0.195250660
18 19 5.392684e-04 0.193971166
19 79 3.362383e-02 0.198835647
20 3 6.686092e-06 0.166791886
21 2 1.977146e-06 0.166666667
22 23 1.796529e-03 0.194140796
23 6 8.503385e-06 0.170441459
24 57 6.177946e-03 0.198746643
25 12 2.348410e-04 0.189339019
26 34 1.848973e-03 0.195422535
27 31 6.929039e-03 0.193548387
28 1 0.000000e+00 0.163235294
29 35 9.491100e-03 0.196721311
30 90 1.645036e-02 0.199192463
31 1 0.000000e+00 0.164627364
32 15 5.051407e-04 0.189662537
33 23 6.929501e-04 0.191875540
34 39 1.092729e-03 0.196113074
35 34 5.316433e-03 0.193464052
36 47 7.218586e-03 0.198657718
37 11 1.623720e-04 0.173099415
38 9 1.016427e-04 0.190721649
39 18 4.665541e-04 0.194140796
40 1 0.000000e+00 0.151535836
41 35 5.602716e-03 0.178313253
42 19 4.711667e-04 0.174734357
43 8 3.957020e-05 0.170900693
44 117 2.750977e-02 0.201360544
45 3 3.627871e-05 0.189339019
46 11 4.804831e-04 0.179757085
47 5 1.592974e-05 0.177316294
48 6 9.722768e-05 0.189097104
49 42 7.914720e-03 0.196460177
50 30 9.747479e-04 0.195079086
51 19 1.788484e-04 0.193295603
52 17 5.245653e-04 0.181002854
53 35 1.838537e-03 0.184538653
54 42 8.083196e-03 0.196634190
55 4 1.094847e-04 0.175632911
56 24 6.434155e-04 0.182415776
57 11 8.681808e-05 0.189258312
58 39 9.939424e-04 0.196547145
59 21 5.947597e-03 0.195250660
60 65 1.478094e-02 0.198037467
61 53 1.966297e-02 0.196808511
62 33 4.608381e-04 0.195767196
63 36 1.528650e-03 0.194395797
64 45 4.634750e-03 0.195680917
65 3 0.000000e+00 0.188535032
66 8 1.031376e-04 0.193043478
67 30 6.168175e-03 0.196460177
68 61 4.240547e-03 0.196113074
69 10 4.555436e-03 0.192792010
70 4 4.041984e-05 0.188775510
71 13 1.165292e-03 0.192124621
72 6 1.957734e-03 0.189177674
73 2 2.371625e-06 0.164261931
74 16 7.699256e-04 0.179393939
75 10 4.696823e-04 0.192959583
76 5 8.353946e-06 0.188615123
77 11 1.603071e-04 0.192457737
78 6 1.030969e-03 0.189177674
79 4 1.316145e-05 0.164871890
80 7 6.675907e-05 0.173844949
81 9 2.023521e-04 0.189824711
82 7 1.565938e-04 0.192374350
83 14 2.723061e-03 0.194310722
84 5 4.482609e-03 0.166666667
85 7 9.703950e-04 0.192792010
86 1 0.000000e+00 0.143041237
87 12 2.490986e-03 0.193971166
88 30 7.380835e-03 0.194480946
89 1 0.000000e+00 0.163055454
90 4 2.870534e-06 0.188375053
91 18 9.879306e-04 0.193211488
92 33 3.693240e-03 0.195853551
93 3 2.428104e-05 0.164505372
94 7 1.838970e-03 0.191792657
95 7 4.493683e-03 0.188375053
96 12 4.745181e-04 0.192875760
97 5 4.446413e-05 0.176190476
98 28 4.422862e-04 0.192792010
99 6 1.074300e-04 0.192792010
100 29 2.226758e-03 0.195939982
101 12 1.491776e-03 0.193211488
102 6 0.000000e+00 0.192291035
103 14 5.205746e-03 0.192792010
104 21 9.561525e-04 0.182640889
105 5 9.977457e-05 0.189662537
106 6 1.553601e-05 0.172293364
107 19 5.186231e-04 0.190967742
108 4 3.381618e-06 0.168949772
109 22 7.966098e-03 0.192124621
110 4 4.479720e-03 0.188775510
111 1 0.000000e+00 0.159025788
112 5 8.488116e-05 0.188855806
113 10 1.765519e-04 0.189743590
114 11 9.969978e-05 0.180855397
115 26 2.333754e-02 0.193127447
116 35 1.524048e-02 0.197070573
117 6 2.994202e-05 0.171627368
118 6 5.342236e-05 0.166917293
119 7 5.582580e-04 0.169659916
120 3 4.474000e-03 0.188615123
121 11 1.416391e-04 0.193464052
122 3 2.903839e-05 0.166729253
123 5 7.004260e-04 0.168118137
124 2 0.000000e+00 0.188455008
125 1 0.000000e+00 0.164871890
126 3 0.000000e+00 0.188455008
127 2 0.000000e+00 0.188455008
128 24 1.690773e-03 0.192291035
129 14 1.254664e-03 0.190149893
130 1 0.000000e+00 0.164871890
131 5 1.821601e-05 0.188936170
132 6 3.640050e-05 0.171230235
133 9 6.186174e-04 0.189905902
134 2 1.138480e-04 0.187896741
135 2 2.412686e-05 0.160927872
136 25 1.148455e-03 0.193717277
137 30 3.241522e-03 0.195767196
138 9 1.111568e-04 0.192291035
139 4 1.847047e-05 0.188455008
140 3 2.542045e-06 0.161807580
141 5 1.773828e-03 0.188535032
142 14 2.481858e-04 0.193379791
143 6 1.068402e-06 0.189016603
144 21 2.019987e-04 0.190803610
145 2 1.866003e-05 0.164566345
146 3 4.023374e-05 0.191461837
147 13 1.800397e-03 0.193211488
148 8 3.947696e-05 0.177955912
149 1 0.000000e+00 0.158571429
150 4 8.477025e-03 0.188135593
151 2 2.440364e-05 0.160000000
152 5 5.905531e-04 0.189016603
153 3 7.111750e-06 0.163415532
154 10 2.301671e-03 0.192541197
155 18 2.595965e-03 0.193971166
156 3 2.979074e-06 0.169465649
157 11 1.112162e-03 0.192708333
158 15 1.195712e-03 0.190312902
159 5 2.855870e-05 0.176610979
160 3 7.270113e-04 0.188135593
161 18 2.865065e-04 0.192041522
162 7 3.611767e-05 0.191875540
163 12 7.773809e-05 0.193127447
164 1 0.000000e+00 0.161866569
165 8 2.495069e-04 0.190803610
166 6 1.530205e-04 0.191958495
167 14 3.070046e-03 0.190394511
168 2 0.000000e+00 0.161807580
169 5 0.000000e+00 0.188455008
170 9 2.442540e-04 0.189177674
171 7 4.474000e-03 0.188615123
172 8 1.063241e-04 0.189500640
173 9 1.893158e-03 0.189743590
174 2 3.389394e-06 0.162756598
175 5 1.207379e-05 0.166917293
176 14 4.787245e-03 0.192875760
177 15 5.059019e-04 0.182116489
178 8 8.215182e-04 0.189016603
179 6 2.089695e-04 0.191875540
180 1 0.000000e+00 0.158741509
181 3 0.000000e+00 0.187896741
182 10 8.758506e-05 0.172964550
183 12 6.552675e-04 0.180781759
184 12 1.835474e-03 0.193211488
185 14 8.593368e-04 0.193295603
186 2 0.000000e+00 0.187817259
187 3 9.243802e-07 0.187896741
188 4 0.000000e+00 0.188535032
189 3 5.180931e-06 0.187976291
190 5 6.130620e-05 0.191709845
191 4 3.038756e-05 0.169078446
192 18 8.311724e-03 0.192041522
193 22 4.425342e-04 0.193379791
194 6 1.290771e-04 0.189419795
195 12 1.090249e-04 0.194651469
196 5 1.783289e-05 0.189419795
197 7 6.288008e-04 0.178743961
198 36 7.005840e-04 0.195336560
199 14 2.846943e-04 0.193295603
200 5 1.945641e-04 0.189097104
201 22 6.532441e-04 0.193886463
202 13 8.398502e-05 0.194310722
203 12 2.806158e-04 0.190721649
204 2 0.000000e+00 0.187976291
205 17 9.459393e-04 0.190312902
206 3 0.000000e+00 0.188135593
207 16 3.426864e-04 0.183017312
208 7 9.279767e-05 0.170180146
209 3 4.400729e-05 0.175841584
210 2 0.000000e+00 0.175355450
211 10 3.336131e-04 0.192708333
212 12 9.547411e-05 0.192457737
213 1 0.000000e+00 0.165548098
214 2 0.000000e+00 0.188215345
215 5 1.321273e-05 0.177316294
216 7 7.396383e-05 0.170049789
217 13 2.370083e-03 0.190394511
218 5 2.627770e-04 0.189419795
219 30 3.178656e-03 0.192624729
220 1 0.000000e+00 0.166105499
221 10 6.195117e-04 0.191461837
222 2 0.000000e+00 0.166105499
223 39 8.530463e-03 0.196026490
224 2 0.000000e+00 0.167673716
225 1 0.000000e+00 0.166105499
226 15 3.017241e-04 0.194310722
227 2 0.000000e+00 0.166105499
228 2 0.000000e+00 0.177387135
229 1 0.000000e+00 0.161337209
230 3 2.736394e-05 0.161689731
231 7 8.912657e-05 0.170966500
232 3 1.664355e-05 0.191709845
233 1 0.000000e+00 0.161689731
234 37 2.242049e-02 0.192541197
235 4 4.327795e-05 0.191875540
236 3 0.000000e+00 0.188295165
237 1 0.000000e+00 0.161689731
238 2 0.000000e+00 0.161689731
239 3 8.818300e-04 0.188375053
240 2 0.000000e+00 0.188295165
241 3 0.000000e+00 0.188295165
242 4 0.000000e+00 0.188375053
243 8 8.748607e-03 0.189662537
244 1 0.000000e+00 0.161689731
245 3 4.474000e-03 0.188455008
246 6 9.804484e-06 0.188936170
247 8 4.513245e-03 0.192541197
248 9 4.524555e-03 0.190639760
249 12 3.758989e-03 0.192541197
250 4 1.124611e-04 0.191709845
251 5 2.123824e-04 0.188535032
252 3 4.994438e-07 0.188295165
253 3 0.000000e+00 0.188295165
254 2 1.520385e-06 0.161984677
255 2 0.000000e+00 0.187896741
256 5 4.152514e-05 0.188695283
257 4 7.012946e-05 0.188936170
258 5 2.263293e-04 0.191709845
259 3 7.710743e-05 0.188695283
260 1 0.000000e+00 0.158401712
261 2 4.474000e-03 0.187896741
262 4 7.810434e-05 0.176120587
263 1 0.000000e+00 0.158798283
264 2 1.475825e-05 0.175632911
265 4 4.980090e-04 0.188535032
266 5 5.145883e-05 0.164627364
267 2 0.000000e+00 0.188775510
268 9 1.532313e-04 0.173844949
269 3 2.866235e-06 0.167673716
270 2 0.000000e+00 0.162102957
271 4 2.285280e-04 0.188135593
272 2 0.000000e+00 0.164140481
273 4 1.041269e-05 0.168373151
274 1 0.000000e+00 0.167863894
275 5 1.959549e-06 0.177528988
276 5 0.000000e+00 0.192124621
277 6 3.919098e-06 0.177528988
278 5 2.665584e-03 0.192457737
279 12 1.773613e-03 0.191296855
280 3 0.000000e+00 0.188295165
281 8 8.324394e-05 0.192124621
282 1 0.000000e+00 0.159654800
283 1 0.000000e+00 0.158401712
284 2 4.474000e-03 0.187896741
285 6 1.193956e-05 0.168693009
286 2 2.944515e-06 0.162102957
287 4 3.862214e-05 0.169271826
288 2 1.171883e-05 0.162399415
289 3 1.296219e-04 0.164261931
290 1 0.000000e+00 0.162102957
291 1 0.000000e+00 0.162102957
292 2 0.000000e+00 0.187976291
293 3 7.205470e-06 0.176190476
294 1 0.000000e+00 0.158911954
295 5 4.479254e-03 0.188135593
296 1 0.000000e+00 0.158571429
297 2 0.000000e+00 0.187896741
298 3 0.000000e+00 0.191792657
299 2 0.000000e+00 0.187976291
300 15 4.780285e-03 0.194140796
301 14 2.176201e-03 0.192959583
302 5 2.205982e-06 0.188615123
303 7 6.020324e-05 0.192457737
304 2 0.000000e+00 0.187817259
305 2 0.000000e+00 0.188295165
306 4 1.164955e-04 0.165857303
307 6 7.882054e-04 0.175980975
308 8 6.997015e-05 0.189824711
309 1 0.000000e+00 0.164566345
310 30 2.296343e-02 0.192541197
311 1 0.000000e+00 0.161689731
312 1 0.000000e+00 0.161689731
313 1 0.000000e+00 0.161689731
314 2 0.000000e+00 0.188615123
315 2 0.000000e+00 0.162102957
316 1 0.000000e+00 0.161689731
317 6 8.873663e-05 0.192291035
318 4 0.000000e+00 0.191958495
319 4 5.642092e-05 0.175771971
320 3 0.000000e+00 0.191627104
321 2 3.223866e-06 0.161866569
322 5 8.752388e-04 0.189500640
323 3 0.000000e+00 0.176050753
324 4 1.069884e-05 0.188375053
325 2 0.000000e+00 0.188135593
326 3 0.000000e+00 0.191461837
327 1 0.000000e+00 0.162816282
328 1 0.000000e+00 0.161689731
329 9 5.630786e-05 0.192041522
330 3 7.858756e-04 0.188215345
331 6 1.271023e-06 0.188055909
332 1 0.000000e+00 0.158911954
333 2 1.819547e-05 0.187976291
334 2 0.000000e+00 0.169400992
335 6 3.508836e-05 0.189258312
336 12 2.630565e-04 0.194225722
337 4 1.347255e-03 0.188375053
338 4 0.000000e+00 0.188295165
339 2 0.000000e+00 0.188455008
340 3 2.514451e-04 0.187976291
341 11 2.492494e-04 0.179684338
342 4 7.466899e-04 0.188135593
343 2 0.000000e+00 0.187896741
344 2 1.122599e-03 0.187896741
345 3 0.000000e+00 0.188375053
346 3 9.418734e-04 0.187976291
347 5 7.612775e-04 0.192875760
348 1 0.000000e+00 0.164688427
349 1 0.000000e+00 0.164688427
350 6 5.820118e-05 0.189662537
351 6 4.412943e-05 0.176962933
352 1 0.000000e+00 0.164444444
353 2 1.992894e-06 0.166043381
354 3 0.000000e+00 0.191544435
355 4 0.000000e+00 0.187817259
356 5 4.248942e-06 0.188455008
357 2 5.191504e-05 0.187976291
358 2 0.000000e+00 0.188695283
359 1 0.000000e+00 0.160346696
360 4 6.108170e-05 0.188615123
361 21 1.206649e-03 0.175841584
362 1 0.000000e+00 0.187737844
363 1 0.000000e+00 0.187737844
364 1 0.000000e+00 0.187737844
365 1 0.000000e+00 0.187737844
366 2 0.000000e+00 0.187737844
367 1 0.000000e+00 0.187737844
368 1 0.000000e+00 0.187737844
369 1 0.000000e+00 0.187737844
370 1 0.000000e+00 0.161866569
371 1 0.000000e+00 0.187737844
372 1 0.000000e+00 0.187737844
373 1 0.000000e+00 0.187737844
374 1 0.000000e+00 0.187737844
375 1 0.000000e+00 0.187737844
376 3 0.000000e+00 0.191296855
377 2 0.000000e+00 0.191296855
378 2 0.000000e+00 0.191296855
379 2 0.000000e+00 0.191296855
380 1 0.000000e+00 0.187737844
381 1 0.000000e+00 0.187737844
382 2 0.000000e+00 0.191296855
383 1 0.000000e+00 0.187737844
384 1 0.000000e+00 0.187737844
385 1 0.000000e+00 0.187737844
386 1 0.000000e+00 0.187737844
387 1 0.000000e+00 0.187737844
388 2 0.000000e+00 0.191296855
389 1 0.000000e+00 0.187737844
390 1 0.000000e+00 0.187737844
391 1 0.000000e+00 0.187737844
392 1 0.000000e+00 0.187737844
393 1 0.000000e+00 0.187737844
394 1 0.000000e+00 0.187737844
395 1 0.000000e+00 0.187737844
396 1 0.000000e+00 0.187737844
397 3 0.000000e+00 0.191296855
398 1 0.000000e+00 0.187737844
399 2 0.000000e+00 0.191296855
400 1 0.000000e+00 0.187737844
401 1 0.000000e+00 0.187737844
402 1 0.000000e+00 0.187737844
403 2 0.000000e+00 0.191296855
404 1 0.000000e+00 0.187737844
405 1 0.000000e+00 0.187737844
406 3 0.000000e+00 0.191296855
407 1 0.000000e+00 0.187737844
408 1 0.000000e+00 0.187737844
409 2 0.000000e+00 0.191296855
410 3 0.000000e+00 0.191296855
411 1 0.000000e+00 0.187737844
412 1 0.000000e+00 0.187737844
413 2 0.000000e+00 0.187737844
414 1 0.000000e+00 0.187737844
415 2 0.000000e+00 0.187737844
416 1 0.000000e+00 0.175217048
417 1 0.000000e+00 0.175217048
418 1 0.000000e+00 0.175217048
419 1 0.000000e+00 0.175217048
420 1 0.000000e+00 0.175217048
421 1 0.000000e+00 0.175217048
422 4 6.389261e-06 0.166416792
423 1 0.000000e+00 0.175217048
424 1 0.000000e+00 0.187737844
425 1 0.000000e+00 0.187737844
426 1 0.000000e+00 0.187737844
427 1 0.000000e+00 0.187737844
428 1 0.000000e+00 0.187737844
429 1 0.000000e+00 0.187737844
430 1 0.000000e+00 0.187737844
431 1 0.000000e+00 0.187737844
432 43 4.114279e-03 0.183698800
433 2 0.000000e+00 0.175217048
434 3 1.626206e-06 0.176610979
435 1 0.000000e+00 0.175217048
436 1 0.000000e+00 0.175217048
437 2 0.000000e+00 0.162340037
438 2 9.470854e-06 0.175702414
439 2 0.000000e+00 0.162399415
440 1 0.000000e+00 0.187737844
441 0 0.000000e+00 0.002247191
442 0 0.000000e+00 0.002247191
443 0 0.000000e+00 0.002247191
444 581 7.142161e-01 0.230649351
445 332 1.850191e-01 0.212034384Show code
degree betweenness closeness
1 444 444 444
2 445 445 445
3 11 19 44
4 44 44 11
5 30 115 30
6 19 310 7
7 60 234 19
8 68 61 24
9 7 30 36
10 24 116 60
11 1 7 1
12 61 60 116
13 36 11 61
14 64 1 29
15 432 29 54
16 49 243 58
17 54 223 15
18 34 150 49
19 58 192 67
20 223 54 6
21 234 109 34
22 63 49 68
23 198 88 223
24 13 36 100
25 29 27 92
26 41 24 62
27 53 67 137
28 116 59 64
29 26 41 26
30 35 35 198
31 5 103 17
32 6 5 59
33 62 176 50
34 92 300 14
35 8 10 5
36 15 64 8
37 27 69 10
38 50 248 195
39 67 247 88
40 88 95 63
41 137 84 83
42 219 110 202
43 310 295 226
44 100 245 336
45 98 120 13
46 115 261 22
47 14 284 39
48 136 171 300
49 12 68 18
50 17 432 87
51 56 6 155
52 128 249 201
53 22 92 136
54 33 137 27
55 109 219 35
56 193 13 121
57 201 167 142
58 59 83 193
59 104 278 9
60 144 155 51
61 361 87 185
62 10 217 199
63 18 154 91
64 42 100 101
65 51 301 147
66 107 72 184
67 39 15 115
68 91 173 163
69 155 26 66
70 161 94 75
71 192 53 301
72 52 184 96
73 205 147 176
74 4 22 347
75 74 141 69
76 207 279 85
77 32 128 98
78 158 63 99
79 177 101 103
80 226 337 157
81 300 129 211
82 9 361 219
83 83 158 154
84 103 71 234
85 129 136 247
86 142 344 249
87 167 157 310
88 176 34 77
89 185 8 212
90 199 78 278
91 301 58 303
92 71 91 82
93 147 50 102
94 202 85 128
95 217 104 138
96 25 205 317
97 87 346 71
98 96 239 109
99 101 322 276
100 163 185 281
101 183 178 161
102 184 307 192
103 195 330 329
104 203 74 166
105 212 347 318
106 249 342 33
107 279 160 162
108 336 198 179
109 37 123 235
110 46 33 94
111 57 183 298
112 77 201 4
113 114 56 190
114 121 197 232
115 157 17 250
116 341 221 258
117 69 133 320
118 75 152 354
119 113 119 146
120 154 18 221
121 182 52 326
122 211 107 279
123 221 177 376
124 38 32 377
125 81 265 378
126 133 46 379
127 138 96 382
128 170 42 388
129 173 75 397
130 248 39 399
131 268 62 403
132 329 193 406
133 43 98 409
134 66 12 410
135 148 207 107
136 165 211 144
137 172 226 165
138 178 161 38
139 243 199 203
140 247 203 248
141 281 14 167
142 308 336 217
143 2 218 158
144 80 340 205
145 82 165 129
146 85 341 133
147 94 142 81
148 95 170 308
149 119 25 113
150 162 271 173
151 171 258 32
152 197 4 105
153 208 251 243
154 216 179 350
155 231 81 172
156 303 144 322
157 3 200 194
158 23 51 196
159 48 113 218
160 72 37 25
161 78 77 45
162 99 82 57
163 102 268 335
164 106 166 72
165 117 121 78
166 118 3 170
167 132 289 48
168 143 194 200
169 166 306 143
170 179 134 152
171 194 250 178
172 246 138 131
173 277 55 246
174 285 195 257
175 307 99 112
176 317 172 70
177 331 66 110
178 335 38 267
179 350 105 256
180 351 114 259
181 47 48 358
182 76 212 76
183 84 2 120
184 97 208 171
185 105 231 302
186 112 317 314
187 123 182 360
188 131 57 65
189 141 112 141
190 152 202 188
191 159 281 251
192 169 262 265
193 175 163 124
194 190 259 126
195 196 216 127
196 200 257 139
197 215 308 169
198 218 9 245
199 251 80 339
200 256 190 356
201 258 360 90
202 266 303 95
203 275 350 239
204 276 319 242
205 278 329 324
206 295 118 337
207 302 357 345
208 322 266 236
209 347 97 240
210 356 351 241
211 55 209 252
212 70 235 253
213 79 256 280
214 90 70 305
215 108 146 338
216 110 43 214
217 139 148 330
218 150 287 150
219 188 132 160
220 191 45 206
221 235 162 271
222 242 335 295
223 250 191 325
224 257 117 342
225 262 122 331
226 265 159 189
227 271 230 204
228 273 151 292
229 287 93 299
230 306 135 333
231 318 145 340
232 319 139 346
233 324 131 357
234 337 333 134
235 338 196 181
236 342 232 187
237 355 47 255
238 360 106 261
239 422 16 284
240 16 264 297
241 20 215 343
242 45 79 344
243 65 175 186
244 93 285 304
245 120 288 355
246 122 324 362
247 126 273 363
248 140 246 364
249 146 438 365
250 153 23 366
251 156 76 367
252 160 293 368
253 181 153 369
254 187 20 371
255 189 422 372
256 206 189 373
257 209 356 374
258 230 277 375
259 232 174 380
260 236 108 381
261 239 321 383
262 241 156 384
263 245 286 385
264 252 90 386
265 253 269 387
266 259 140 389
267 269 73 390
268 280 302 391
269 289 353 392
270 293 21 393
271 298 275 394
272 320 434 395
273 323 254 396
274 326 331 398
275 330 143 400
276 340 187 401
277 345 252 402
278 346 28 404
279 354 31 405
280 376 40 407
281 397 65 408
282 406 86 411
283 410 89 412
284 434 102 413
285 21 111 414
286 73 124 415
287 124 125 424
288 127 126 425
289 134 127 426
290 135 130 427
291 145 149 428
292 151 164 429
293 168 168 430
294 174 169 431
295 186 180 440
296 204 181 53
297 210 186 432
298 214 188 207
299 222 204 104
300 224 206 56
301 227 210 177
302 228 213 12
303 238 214 52
304 240 220 114
305 254 222 183
306 255 224 46
307 261 225 341
308 264 227 74
309 267 228 197
310 270 229 41
311 272 233 148
312 284 236 275
313 286 237 277
314 288 238 228
315 292 240 47
316 297 241 215
317 299 242 351
318 304 244 159
319 305 253 434
320 314 255 97
321 315 260 293
322 321 263 262
323 325 267 323
324 333 270 307
325 334 272 209
326 339 274 361
327 343 276 319
328 344 280 438
329 353 282 55
330 357 283 264
331 358 290 210
332 366 291 416
333 377 292 417
334 378 294 418
335 379 296 419
336 382 297 420
337 388 298 421
338 399 299 423
339 403 304 433
340 409 305 435
341 413 309 436
342 415 311 42
343 433 312 80
344 437 313 268
345 438 314 37
346 439 315 182
347 28 316 2
348 31 318 106
349 40 320 3
350 86 323 117
351 89 325 132
352 111 326 231
353 125 327 43
354 130 328 23
355 149 332 208
356 164 334 216
357 180 338 119
358 213 339 156
359 220 343 334
360 225 345 287
361 229 348 191
362 233 349 108
363 237 352 285
364 244 354 273
365 260 355 123
366 263 358 274
367 274 359 224
368 282 362 269
369 283 363 16
370 290 364 118
371 291 365 175
372 294 366 20
373 296 367 122
374 309 368 21
375 311 369 84
376 312 370 422
377 313 371 220
378 316 372 222
379 327 373 225
380 328 374 227
381 332 375 353
382 348 376 306
383 349 377 213
384 352 378 79
385 359 379 125
386 362 380 130
387 363 381 348
388 364 382 349
389 365 383 31
390 367 384 266
391 368 385 145
392 369 386 309
393 370 387 93
394 371 388 352
395 372 389 73
396 373 390 289
397 374 391 272
398 375 392 153
399 380 393 28
400 381 394 89
401 383 395 327
402 384 396 174
403 385 397 288
404 386 398 439
405 387 399 437
406 389 400 270
407 390 401 286
408 391 402 290
409 392 403 291
410 393 404 315
411 394 405 254
412 395 406 164
413 396 407 321
414 398 408 370
415 400 409 140
416 401 410 168
417 402 411 230
418 404 412 233
419 405 413 237
420 407 414 238
421 408 415 244
422 411 416 311
423 412 417 312
424 414 418 313
425 416 419 316
426 417 420 328
427 418 421 229
428 419 423 135
429 420 424 359
430 421 425 151
431 423 426 282
432 424 427 111
433 425 428 294
434 426 429 332
435 427 430 263
436 428 431 180
437 429 433 149
438 430 435 296
439 431 436 260
440 435 437 283
441 436 439 40
442 440 440 86
443 441 441 441
444 442 442 442
445 443 443 443Which two actors have the highest betweenness and what is unique about their role in the course?
- The top two actors that have the highest betweeness are 444 and 445. They are also the facilitators of the group
Do these same two actors also have the highest closeness? How might you interpret that?
- Yes, they also have the highest number of closeness as well. They have the shortest distance path to all other nodes.
4. MODEL
To be connected to others matters. To be able to share and learn from each other matters. Carolan( 2014) explains, “Teachers who share best practices with others expand their own teaching repertoires.” We explored the Southern region participants of a MOOC-Ed discussion through the visualization above.
Asking whether years of experience make a difference in a discussion forum? What ways are the participants connected?
Show code
dlt1_network |>
activate(nodes) |>
filter(region == 'South')|>
mutate(degree=centrality_degree()) |>
filter(degree>0)|>
activate(edges) |>
mutate(betweenness = centrality_edge_betweenness()) |>
ggraph(layout = "stress") +
geom_edge_link0(aes(edge_alpha = betweenness), edge_color = "grey66") +
geom_node_point(aes(size = degree, shape = experience2, color = group)) +
scale_edge_width_continuous(range = c(0.2, 10)) +
scale_size_continuous(range = c(1, 8)) +
ggtitle( "MOOC-Ed Southern Region Participants" ) +
theme( legend.key = element_rect( fill = "white", colour = "black" ),
legend.title = element_text(face = "bold" )) +
guides(color =FALSE)+
theme_graph() +
theme(legend.position = "right", legend.text = element_text(size = 6, colour = "black"))
What we found was that the blue group seemed to have higher centrality degree and betweenness. The localized degree measurement captures many actors in the blue group with more years of experience are higher connected to other actors regardless of how those other actors are related to each other.
We also looked at the gatekeeper function, and those same actors with the highest degree also had a higher betweenness score.
Using this type of analysis, the facilitator could reach out to those with high betweenness and closeness degrees to spread information and ideas to the rest of the group.
To improve this analysis, I would first look at the closeness degree and include it as an edge color. Next, I would like to explore each group separately. I would be able to analyze each network and the actors’ brokerage to find out if there are any consultants.
References
Kellogg, Shawn (2022). Unit 3: Components, Cliques, & Key Actors. ECI 589 Social Network Analysis and Education