R igraph-将加权邻接矩阵转换为加权边列表 [英] R igraph - Convert a weighted adjacency matrix into weighted edgelist

问题描述

我有一个nxm邻接矩阵，其中(i，j)表示i和j之间的关联分数.我需要将其转换为以下格式，例如: i j <score1>

I have a nxm adjacency matrix, where (i,j) represent the score of association between i and j. I need to convert this into the following format like : i j <score1>

使用R'igraph软件包并将其输出到文本文件中.

using R' igraph package and output it into a text file.

我可以导出边缘列表，但是列表没有权重.我使用了以下代码:

I can derive the edgelist, but its showing up without the weights. I used the following code:

library(igraph) g <- graph.adjacency(myAdjacencymatrix) get.edgelist(g)

library(igraph) g <- graph.adjacency(myAdjacencymatrix) get.edgelist(g)

但是，它不显示权重.

推荐答案

library(igraph)
set.seed(1)                # for reproducible example
myAdjacencyMatrix <- matrix(runif(400),nc=20,nr=20)

g  <- graph.adjacency(myAdjacencyMatrix,weighted=TRUE)
df <- get.data.frame(g)
head(df)
#   from to    weight
# 1    1  1 0.2655087
# 2    1  2 0.9347052
# 3    1  3 0.8209463
# 4    1  4 0.9128759
# 5    1  5 0.4346595
# 6    1  6 0.6547239

您需要在对graph.adjacency(...)的调用中使用weighted=TRUE，以将权重分配给边缘.然后，get.data.frame(...)默认情况下将返回具有所有边缘属性的边缘数据帧.您可以使用what=...参数返回例如具有属性的顶点列表.

You need to use weighted=TRUE in the call to graph.adjacency(...) to have weights assigned to the edges. Then, get.data.frame(...) will return a data frame of the edges with all edge attributes by default. You can use the what=... argument to return, e.g., the vertex list with attributes.

将来:提供一个示例，而不是强迫我们为您创建一个示例！

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