I can understand that. I find it's easier to use igraph in R, especially if you're going to be doing visualizations. igraph is alright in IPython notebooks, but

I can understand that. I find it's easier to use igraph in R, especially if you're going to be doing visualizations. igraph is alright in IPython notebooks, but getting the visualizations to work is a bit of a pain, whereas it works out of the box in RStudio. I don't even really like igraph for visualizations, though. It's great for graph algorithms like community detection, but for visualizations I'll usually jump into something interactive like visNetwork. Check out this slide, for example: http://nicolewhite.github.io/neo4j-presentations/RNeo4j/Visualizations/Visualizations.html#32 http://nicolewhite.github.io/neo4j-presentations/RNeo4j/Visu...