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Using walk trap for DAG community detection
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library(igraph) | |
g <- make_tree(10) + | |
edge(6, 9, | |
7, 10, | |
8, 9) | |
is_dag(g) | |
wc <- cluster_walktrap(g) | |
l <- matrix( | |
c(1, 5, | |
2, 1, | |
2, 10, | |
4, 1, | |
4, 4, | |
3, 7, | |
4, 10, | |
5, 3, | |
5, 6, | |
5, 9), | |
ncol = 2, | |
byrow =T | |
) | |
png('maybe_dag_community.png') | |
plot(wc, g, layout= l) | |
dev.off() | |
g2 <- make_tree(15) + | |
edges(4, 7, | |
8, 14, | |
9, 10, | |
15, 13) | |
is_dag(g2) | |
wc2 <- cluster_walktrap(g2) | |
l2 <- matrix( | |
c(1, 5, | |
2, 3, | |
2, 7, | |
3, 4.5, | |
4, 1, | |
4, 10, | |
3, 6.5, | |
5, 4.5, | |
4, 3, | |
5, 3, | |
5, 1, | |
5, 10, | |
5, 8, | |
5, 6.5, | |
4, 8), | |
ncol = 2, | |
byrow = T | |
) | |
png('maybe_dag_community2.png') | |
plot(wc2, g2, layout = l2) | |
dev.off() |
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