Error: unable to establish connection with R session

[cxd1995]

We are conduction community detection in a large network with more than 400 thousands vertices and one million edges. The graph is directed and weighted. Hence, we could only use algorithms including infomap and walktrap. Is that right?
When we are running the walktrap algorithm, we met this error:
Error: unable to establish connection with R session
The workspace were lost and we had to all the things again. But the error still occurs during the community detection process.
Our session infomation is presented as follow:
R version 3.5.1 (2018-07-02)
Platform: x86_64-redhat-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS/LAPACK: /usr/lib64/R/lib/libRblas.so

locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

attached base packages:
[1] stats graphics grDevices utils datasets methods base

loaded via a namespace (and not attached):
[1] compiler_3.5.1

Guess the error may be resulted because the processing time is too long and the session is killed halfway. But efficient algorithms such as louvain and lable propagation could be used in our problem. Could anyone help us?

[harryprince]

@cxd1995

1. this is not a large network.
2. louvain is the better performance algorithm than infomap or walktrap in my production experience.

References

https://arxiv.org/abs/0803.0476

[ntamas]

Closing due to inactivity. Feel free to reopen if it is still a problem.