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| library(magrittr) | |
| library(httr) | |
| library(data.table) | |
| library(igraph) | |
| weibo <- read.table("tokens_base_filtered.txt", header = F) | |
| net <- read.csv("mat_freq_filtered.csv", header = F) | |
| net <- as.matrix(net) | |
| net_graph <- graph_from_adjacency_matrix(net, weighted = TRUE, mode = 'undirected') | |
| ##WALKTRAP METHOD | |
| cluster<-cluster_walktrap(net_graph) | |
| member <- membership(cluster) | |
| write.csv(as.vector(member), "membership_affiliation.csv") | |
| length(sizes(cluster)) | |
| sizes(cluster) | |
| plot(cluster, net_graph, col = V(net_graph)$color, layout = layout_with_fr(net_graph), vertex.size=2) #vertex.label=NA | |
| plot(cluster, net_graph, col = V(net_graph)$color, vertex.label=NA, layout = layout_with_dh(net_graph), vertex.size=2) #vertex.label=NA | |
| plot(cluster, net_graph, col = V(net_graph)$color, layout = layout_with_drl(net_graph), vertex.size=2) #vertex.label=NA | |
| plot(cluster, net_graph, col = V(net_graph)$color, layout = layout_with_kk(net_graph), vertex.size=0.5) #vertex.label=NA | |