基于边权重的子集图

Question

我有一个图表,G =(V,E)有几个属性,包括边缘权重属性.我正在尝试根据权重高于x的条件创建子图.

我已经尝试过标准的R子集选项g <- E(g)[weight > max(weight)*.10],但我总是得到一个向量.我不确定我在这里做错了什么.

Answer 1

也许你想要这样的东西

library(igraph)
set.seed(1)
m <- matrix(sample(c(.5, 2, 5), 100, replace=T, prob = c(.6,.3,.1)), nc=10, dimnames = rep(list(letters[1:10]), 2))
g <- graph_from_adjacency_matrix(m, weighted=T, diag=F, mode="undirected")
coords <- layout.auto(g)
par(mfrow = c(1,3))

plot(g, layout=coords, edge.width = E(g)$weight)

s1 <- subgraph.edges(g, E(g)[E(g)$weight>2], del=F)
plot(s1, layout=coords, edge.width = E(s1)$weight)

s2 <- delete_vertices(s1, degree(s1, mode = "in")==0)
plot(s2, layout=coords[V(g)$name%in%V(s2)$name,], edge.width = E(s2)$weight)