如何根据边缘权重对 igraph 中边缘不太厚的加权网络图进行标准化?
1 回答
3
在中,图形对象在igraph
哪里,您可以通过分配访问边权重并修改边权重:。 g
E(g)$weight
E(g)$weight <- new_values
要在 0-1 之间进行标准化,请尝试:E(g)$weight <- E(g)$weight / max(E(g)$weight)
.
这是一个可复制的示例,您可以复制和粘贴。
library(igraph)
set.seed(1) # reproducibility
# generate random graph
g <- sample_k_regular(10, k = 3, directed = FALSE, multiple = FALSE)
# add edge weights
E(g)$weight <- sample(c(1,10,50), length(E(g)), replace = TRUE)
# view the problem
plot(g, edge.width = E(g)$weight)
# normalize the edge weights between 0-1
E(g)$weight <- E(g)$weight / max(E(g)$weight)
# play with different values of `k` until you get a reasonable looking graph
k = 9
plot(g, edge.width = E(g)$weight * k)
于 2019-06-01T19:57:14.967 回答