具有make_bipartite_graph() -无效顶点ID错误的二分图

Question

第一篇帖子，所以请宽大处理.

问题：我尝试使用边缘向量和类型向量来使用R中的iGraph函数make_bipartite_graph()，但是遇到了关于顶点IDs的错误。

错误-在核心/misc/biparte.c:527:无效(负或过大)顶点id，无效顶点id

#types in form of NodesAndType gives the boolean info for all 122 nodes
#whether they belong to nodeSet1 or nodeSet2

> head(NodesAndType[,2])
[1] FALSE FALSE FALSE FALSE FALSE FALSE

> length(NodesAndType[,2])
[1] 122

make_bipartite_graph(types = NodesAndType[,2], edges = EL_vector)

#**edges** in form of the EL_vector gives all edges of the graph in from-to format in one vector

> head(EL_vector)
[1]   1 201   2 201   3 201

> head(NodesAndType[,2])
[1] FALSE FALSE FALSE FALSE FALSE FALSE

> length(NodesAndType[,2])
[1] 122

make_bipartite_graph(types = NodesAndType[,2], edges = EL_vector)

## make_bipartite_graph is throwing thefollowing error

make_bipartite_graph(types = NodesAndType[,2], edges = EL_vector)

>Error in make_bipartite_graph(types = NodesAndType[, 2], edges = EL_vector) : 
> At core/misc/bipartite.c:527 : Invalid (negative or too large) vertex id, Invalid vertex id

# the two nodesets are
## nodeset1 (type FALSE for bipartite)
nodeset1 <- 1:103

## nodeset2 (type TRUE for bipartite)
nodeset2 <- 201:211

SessionInfo()

>R version 4.1.2 (2021-11-01)
>Platform: x86_64-w64-mingw32/x64 (64-bit)
>Running under: Windows 10 x64 (build 22000)

>Matrix products: default
>attached base packages:
>[1] stats     graphics  grDevices utils     datasets  methods   base     
>other attached packages:
[1] igraph_1.3.1 dplyr_1.0.7

Answer 1

在make_bipartite_graph中，顶点由types向量定义。顶点数与types长度相同。在你的例子中，你有122个顶点，但是你指的是顶点ID 201，它是无效的(太大)。