Created
July 7, 2020 14:56
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情報学特殊講義A_09回(コミュニティ、鈴木努『ネットワーク分析 第2版 (Rで学ぶデータサイエンス) 』共立出版、2017年参照)
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# ライブラリの準備 | |
install.packages("igraph") | |
install.packages("linkcomm") | |
library(igraph) | |
library(linkcomm) | |
# データの準備 | |
d <- read.csv("08_imotodesse.csv", header=T) | |
g <- d[1:2] | |
# 分割密度が最大になるようなリンクコミュニティの分割 | |
lc <- getLinkCommunities(g, directed = T) | |
# 結果の出力 | |
print(lc) | |
# 各ノードがどのリンクコミュニティに属するかを出力 | |
write.csv(lc$nodeclusters, "community.csv", fileEncoding = "CP932") |
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