Question

我正在使用rstudio版本0.99.879和包igraph版本1.0.1。我的问题与此问题密切相关：igraph package in RStudio: Bipartite graph projection error但是，我的问题与数据结构更相关。以下是我使用的csv.file示例的链接：https://workupload.com/file/6qhyZqc和以下代码：

# Start
set.seed(7)
setwd("C:/Users/Stefan/Desktop/")
data <- read.csv("example.csv", sep=";")
summary(data)

library(igraph)

## using subset function to select 2 variables
data_new <- subset(data, select=c(justification, claimant_function))
data_new

g <- graph.data.frame(data_new, directed = FALSE)
g

col <- c("steelblue1", "white")
shape <- c("circle", "square")

# creating bipartite network
V(g)$type <- FALSE
V(g)$type[V(g)$name %in% data_new[, 1]] <- TRUE
is.bipartite(g)
# TRUE

plot(g, layout = layout.kamada.kawai,
 vertex.shape = shape[as.numeric(V(g)$type) + 1],
 vertex.color = col[as.numeric(V(g)$type) + 1],
 edge.color = 'gray')

# bipartiate projection
one_mode_networks <- bipartite.projection(g)
# Error in .Call("R_igraph_bipartite_projection", graph, types, 
# as.integer(probe1),  : 
# At bipartite.c:198 : Non-bipartite edge found in bipartite projection, 
# Invalid value

除了投影命令外，一切正常。所以，代码不是问题。也许错误/问题可能出在数据本身。由于我已经使用数据已经有一段时间了，我想，我是专业的盲人。如果其他人可以查看发布的示例数据并且可以提供问题的建议，那将是很好的。
任何帮助都非常欢迎！

Answer 1

我的预感是你在同一联盟的两个节点之间有一个联系。有点搜索，事实确实如此。

请注意，您有其他字符串＆＃39;在 data_new的列中：

data_new[which(data_new[,1] %in% data_new[,2]),1]
[1] "other"

igraph将字符串作为网络中的一个节点读取。 V(g)$type[V(g)$name %in% data_new[, 1]] <- TRUE为其TRUE提供type的值。

我们可以看到哪个领带连接了type == 'TRUE'：

的两个顶点

> i <- which(V(g)$type[match(ends(g,1:ecount(g))[,1],V(g)$name)] == V(g)$type[match(ends(g,1:ecount(g))[,2],V(g)$name)])
> ends(g, i)
     [,1]                 [,2]   
[1,] "financial solidity" "other"

第12个边缘，两个顶点都有type==TRUE。

只需重新评估字符串，使它们不相等，一切运行顺畅。

data_new <- subset(data, select=c(justification, claimant_function))
data_new[which(data_new[,1]=="other"),1] <- "other just"
data_new[which(data_new[,2]=="other"),2] <- "other claim"

g <- graph.data.frame(data_new, directed = FALSE)

# creating bipartite network
V(g)$type <- FALSE
V(g)$type[V(g)$name %in% data_new[, 1]] <- TRUE
is.bipartite(g)

one_mode_networks <- bipartite_projection(g)

检查：

> one_mode_networks
$proj1
IGRAPH UNW- 16 72 -- 
+ attr: name (v/c), weight (e/n)
+ edges (vertex names):
 [1] business        --expert/scientist       business        --public figure         
 [3] business        --media/journalist       business        --citizen               
 [5] business        --legislative            business        --ECB                   
 [7] government      --media/journalist       government      --expert/scientist      
 [9] government      --other claim            government      --legislative           
[11] government      --ECB                    government      --European Commission   
[13] government      --other politician/party government      --European Parliament   
[15] government      --citizen                government      --European Council      
+ ... omitted several edges

$proj2
IGRAPH UNW- 16 83 -- 
+ attr: name (v/c), weight (e/n)
+ edges (vertex names):
 [1] political solidarity--monetary solidarity  political solidarity--financial solidity  
 [3] political solidarity--no justification     political solidarity--cultural solidarity 
 [5] political solidarity--sovereignty          political solidarity--self interest       
 [7] political solidarity--economic solidarity  political solidarity--human solidarity    
 [9] financial solidity  --social solidarity    financial solidity  --misuse of solidarity
[11] financial solidity  --economic solidarity  financial solidity  --cultural solidarity 
[13] financial solidity  --self interest        financial solidity  --legal regulations   
[15] financial solidity  --necessity            financial solidity  --conditionally       
+ ... omitted several edges

二分图投影误差（igraph，RStudio）

1 个答案: