# NOT RUN {
# Create a random graph
graph <-
create_random_graph(
n = 10, m = 22,
set_seed = 23)
# Get closeness values for all nodes
# in the graph
get_closeness(graph)
#> id closeness
#> 1 1 0.07142857
#> 2 2 0.07142857
#> 3 3 0.07142857
#> 4 4 0.06250000
#> 5 5 0.07692308
#> 6 6 0.09090909
#> 7 7 0.06666667
#> 8 8 0.05882353
#> 9 9 0.07692308
#> 10 10 0.07692308
# Add the closeness values to the graph
# as a node attribute
graph <-
graph %>%
join_node_attrs(
df = get_closeness(.))
# Display the graph's node data frame
get_node_df(graph)
#> id type label value closeness
#> 1 1 <NA> 1 6.0 0.07142857
#> 2 2 <NA> 2 2.5 0.07142857
#> 3 3 <NA> 3 3.5 0.07142857
#> 4 4 <NA> 4 7.5 0.06250000
#> 5 5 <NA> 5 8.5 0.07692308
#> 6 6 <NA> 6 4.5 0.09090909
#> 7 7 <NA> 7 10.0 0.06666667
#> 8 8 <NA> 8 10.0 0.05882353
#> 9 9 <NA> 9 8.5 0.07692308
#> 10 10 <NA> 10 10.0 0.07692308
# }
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