在 igraph(R 包)中反转有向图(转置图)中的边

Invert edges in a directed graph (transpose graph) in igraph (R packages)

假设我在 R 中给出了一个 igraph 图并想要反转所有边:

Transpose graph

library(igraph)
library(tidyverse)
g <- make_star(n=6)
plot(g)
gt <- transposeGraph(g) # hypothetical function
plot(gt)

一种方法似乎是重建图,但我担心性能和顶点属性的丢失:

gt <- graph_from_data_frame(as_data_frame(g) %>% select(to, from))

还有其他想法吗?

可以找到一个可能的答案 here,但是它不保留顶点属性。
应该可以使用 get.vertex.attributeset.vertex.attribute

恢复属性

尝试:

library(igraph)
library(tidyverse)

g <- make_star(n=6)
plot(g)

transposeGraph <- function(g) {
  g %>% get.edgelist %>%
    {cbind(.[, 2], .[, 1])} %>%
    graph.edgelist
}

gt <- transposeGraph(g)
plot(gt)

reprex package (v0.3.0)

于 2020-09-10 创建

性能比较表明它在 100 个顶点的星上快了大约 10 倍:

Unit: microseconds
                                                         expr      min        lq     mean   median
 graph_from_data_frame(as_data_frame(g) %>% select(to, from)) 4300.308 4495.1795 4844.328 4654.769
                                            transposeGraph(g)  315.487  350.5645  457.711  404.308
       uq       max neval cld
 4806.770 13324.719   100   b
  437.539  4488.205   100  a 

我目前运行以下代码,因为它保留了所有节点和边缘属性。


library(igraph)
#> 
#> Attache Paket: 'igraph'
#> The following objects are masked from 'package:stats':
#> 
#>     decompose, spectrum
#> The following object is masked from 'package:base':
#> 
#>     union

g <- make_star(n=6)
V(g)$name <- LETTERS[1:6]
E(g)$weight <- 1:5
plot(g)


transposeGraph <- function(g){
  gDf <- as_data_frame(g, what = "both")
  graph_from_data_frame(gDf$edges[,c(2:1, 3:ncol(gDf$edges))], directed = T, gDf$vertices)
}

gt <- transposeGraph(g)

plot(gt)

reprex package (v0.3.0)

于 2020-09-28 创建