I am using the following code to convert a graph into its Adjacency and Incidence matrix formats;

library(igraph)
library(network)
library(intergraph)
library(Matrix)
df <- read.table(textConnection("
To From
A D
B A
C A
D C
D D
D B
E B
E D"),
header=T, stringsAsFactors=F)
df <- df[,c(2,1)]
df <- df[order(df$From),]
g <- graph.data.frame(df[,1:2], directed = T)
V(g)$type <- V(g)$name %in% df[,1]
adj <- as_adjacency_matrix(g, sparse = F)
adj
set.seed(9)
plot(g)
g
inc <- as_incidence_matrix(g)
inc

The output is not printed and kills the R session.

I cannot reproduce this on my machine (Apple Silicon, macOS 12.0.1, R 1.4.2, igraph 1.2.9, installed from CRAN). Please provide more details, especially the version numbers of your OS, R itself, igraph, and the OS that you are using.

I cannot reproduce it if I evaluate lines one by one. I cansometimes reproduce it if I paste the whole thing at once (without the irrelevant packages, namely network and intergraph). It would be nice if the example could be further minimized.

@shreyaskhadse If you can reproduce this consistently, can you please construct a truly minimal example? Try to remove lines one by one and keep only what’s absolutely necessary for the crash. If possible, please construct the graph on a single line in terms of vertex indices (not vertex names), and do not modify it further.

It seems like you are hitting a bug in the core C igraph library that was fixed in version 0.9.3; the problem is that your graph is not fully bipartite (there are edges within the partitions). Unfortunately the R interface is still based on version 0.8.x of the C core; we are working hard to bring it up-to-date with the C core (see the dev-1.3 branch in GitHub - igraph/rigraph: igraph R package), but it will take a few weeks at least until we can release a version that is based on an up-to-date version of the C core.

If you need to make this work, the workaround for the R interface is to remove all edges that go between vertices of the same type.