# NOT RUN {
# Create a random graph
graph <-
create_random_graph(
n = 10, m = 22,
set_seed = 23)
# Get the group membership values for all
# nodes in the graph through the greedy
# optimization of modularity algorithm
get_cmty_fast_greedy(graph)
#> id f_g_group
#> 1 1 1
#> 2 2 2
#> 3 3 2
#> 4 4 1
#> 5 5 1
#> 6 6 1
#> 7 7 2
#> 8 8 1
#> 9 9 2
#> 10 10 1
# Add the group membership values to the
# graph as a node attribute
graph <-
graph %>%
join_node_attrs(
df = get_cmty_fast_greedy(.))
# Display the graph's node data frame
get_node_df(graph)
#> id type label value f_g_group
#> 1 1 <NA> 1 6.0 1
#> 2 2 <NA> 2 2.5 2
#> 3 3 <NA> 3 3.5 2
#> 4 4 <NA> 4 7.5 1
#> 5 5 <NA> 5 8.5 1
#> 6 6 <NA> 6 4.5 1
#> 7 7 <NA> 7 10.0 2
#> 8 8 <NA> 8 10.0 1
#> 9 9 <NA> 9 8.5 2
#> 10 10 <NA> 10 10.0 1
# }
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