【发布时间】:2019-01-07 08:55:46
【问题描述】:
我正在运行 igraph 包,以便对此示例数据集进行一些网络分析
structure(list(ï..Column1 = c(NA, NA, NA, NA), Column2 = c(NA,
NA, NA, NA), Column3 = c(NA, NA, NA, NA), Column4 = c(NA, NA,
NA, NA), Column5 = structure(c(2L, 1L, 4L, 3L), .Label = c("Eric ",
"Jim", "Matt", "Tim"), class = "factor"), Column6 = c(NA, NA,
NA, NA), Column7 = structure(c(1L, 3L, 2L, 3L), .Label = c("Eric",
"Erica", "Mary "), class = "factor"), Column8 = structure(c(3L,
2L, 1L, 3L), .Label = c("Beth", "Loranda", "Matt"), class = "factor"),
Column9 = structure(c(2L, 3L, 1L, 3L), .Label = c("Courtney ",
"Heather ", "Patrick"), class = "factor"), Column10 = structure(4:1, .Label = c("Beth",
"Heather", "John", "Loranda "), class = "factor"), Column11 = c(NA,
NA, NA, NA), Column12 = c(NA, NA, NA, NA), Column13 = c(NA,
NA, NA, NA), Column14 = c(NA, NA, NA, NA), Column15 = c(NA,
NA, NA, NA)), class = "data.frame", row.names = c(NA, -4L
))
这里是任何想要跳过查找步骤的人的边缘列表
structure(c("Jim", "Eric ", "Tim", "Matt", "Jim", "Eric ", "Tim",
"Matt", "Jim", "Eric ", "Tim", "Matt", "Jim", "Eric ", "Tim",
"Matt", "Eric", "Mary ", "Erica", "Mary ", "Matt", "Loranda",
"Beth", "Matt", "Heather ", "Patrick", "Courtney ", "Patrick",
"Loranda ", "John", "Heather", "Beth"), .Dim = c(16L, 2L), .Dimnames = list(
NULL, c("Column5", "value")))
我正在尝试使用此代码计算网络中每个节点的中心性(mat 是我的边缘列表矩阵)
g1=graph_from_edgelist(mat)
degree.cent <- centr_degree(g1, mode = "all")
degree.cent
我的输出是这样的
> degree.cent
$`res`
[1] 4 1 4 2 4 1 6 1 2 1 2 1 1 1 1
$centralization
[1] 0.1479592
$theoretical_max
[1] 392
我知道 'degree$res` 是我的中心性分数度量,但我不清楚哪些节点实际上正在接收该分数。我查了一个教程here,但它只说第一个分数是“节点1”。没有迹象表明节点 1 是什么,也没有一种简单的方法来识别它
【问题讨论】:
-
你想要
degree(g1, mode = "all")吗? -
是的,这也有效!
标签: r igraph network-analysis