使用R igraph根据权重绘制边线 [英] Plot edges based on weight using R igraph

问题描述

我正在尝试在R中绘制带有igraph的网络，其中边缘按权重排序.我已经分配了颜色，但是我想要背面的弱边缘和前面的强边缘.有没有办法做到这一点? 谢谢

I'm trying to plot a network with igraph in R where the edges are sorted by weight. I have assigned colors, but I want weak edges on the back and strong edges in front. Is there a way of doing this? thanks

推荐答案

这是一个可能的解决方案.这实际上取决于您使用的是什么，因此使用代码示例可以改善这一点.

Here's a possible solution. It really depends on what you're working with, so with a code sample I could improve this.

基本上，边缘按出现的顺序绘制.因此，我们需要根据其权重属性对边缘进行排序.在同一张图中似乎不可能做到这一点，因此可能只需要创建一个具有相同属性但对边进行排序的新图即可.

Basically, edges are plotted in the order they appear. So we need to sort edges based on their weight attribute. This doesn't seem possible to do within the same graph, so it may just be necessary to create a new graph with the same attributes but with the edges sorted.

g <- graph( c(1,2, 1,3,1,4,1,5,2,3,2,4,2,5,3,4,3,5,4,5), n=5 )
E(g)$weight <- runif(10)

# Generates a the same graph but with edges sorted by weight.
h <- graph.empty() + vertices(V(g))
h <- h + edges(as.vector(t(get.edgelist(g)[order(E(g)$weight),])))
E(h)$weight <- E(g)$weight[order(E(g)$weight)]

E(h)$color <- "red"
E(h)[weight>0.3]$color <- "yellow"
E(h)[weight>0.7]$color <- "green"
plot(h,edge.width=2+3*E(h)$weight)

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