[英]eigen_centrality{igraph} crashes R
I am trying to use the eigen_centrality{igraph}
to calculate the Eigenvector Centrality scores of the nodes in a network. 我试图使用
eigen_centrality{igraph}
来计算网络中节点的特征向量中心度分数。 Every time I run the command, though, Rstudio
crashes. 但是,每次运行命令时,
Rstudio
崩溃。 I've also tried this in plain R
but it crashes as well. 我也在普通的
R
试过这个,但它也崩溃了。
I am using Windows 10. I've already tried reinstalling the library without success. 我使用的是Windows 10.我已经尝试重新安装库但没有成功。
library(igraph)
# sample graph
g <- sample_gnp(10, 2/10); E(g)$weight <- runif(ecount(g))
# get eigen centrality
eigen <- eigen_centrality(g, directed = T, weights = E(g)$weight, scale = T)
It also crashes when I use the example provided in the library documentation 当我使用库文档中提供的示例时,它也会崩溃
# Generate some test data
g <- make_ring(10, directed=FALSE)
# Compute eigenvector centrality scores
eigen_centrality(g)
I'm having the same problem on mac os and wanted to bump this question. 我在mac os上遇到同样的问题,想要提出这个问题。 I also removed and reinstalled
igraph
without luck. 我也删除并重新安装
igraph
没有运气。
$ R
R> library(igraph)
R> #Generate some test data
R> g <- make_ring(10, directed=FALSE)
R> #Compute eigenvector centrality scores
R> eigen_centrality(g)
Fortran runtime error: Insufficient number of elements in TARRAY.
$
$ echo $?
2
$
$ R
R> library(igraph)
R> sessionInfo()
R version 3.4.2 (2017-09-28)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: macOS High Sierra 10.13.4
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libLAPACK.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] igraph_1.2.2
loaded via a namespace (and not attached):
[1] compiler_3.4.2 magrittr_1.5 pkgconfig_2.0.2
R> R.version
_
platform x86_64-apple-darwin13.4.0
arch x86_64
os darwin13.4.0
system x86_64, darwin13.4.0
status
major 3
minor 4.2
year 2017
month 09
day 28
svn rev 73368
language R
version.string R version 3.4.2 (2017-09-28)
nickname Short Summer
R>
It works fine on my 4GB pc on window 8. Shows the following output eigen_centrality(g) 它在窗口8上的4GB pc上工作正常。显示以下输出eigen_centrality(g)
$vector
[1] 1 1 1 1 1 1 1 1 1 1
$value
[1] 2
$options
$options$bmat
[1] "I"
$options$n
[1] 10
$options$which
[1] "LA"
$options$nev
[1] 1
$options$tol
[1] 0
$options$ncv
[1] 0
$options$ldv
[1] 0
$options$ishift
[1] 1
$options$maxiter
[1] 1000
$options$nb
[1] 1
$options$mode
[1] 1
$options$start
[1] 1
$options$sigma
[1] 0
$options$sigmai
[1] 0
$options$info
[1] 0
$options$iter
[1] 5
$options$nconv
[1] 1
$options$numop
[1] 17
$options$numopb
[1] 0
$options$numreo
[1] 14
Check you memory size allocated to R by using this command memory.limit() 使用此命令memory.limit()检查分配给R的内存大小
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