Hi all, I had to analyze a graph with igraph, so I create this simple code. It's very raw, but may be useful:
http://pastebin.com/eEcwM7Bw I translated important comments in English, however the code is very basic. The file can be loaded as described here: http://airwiki.ws.dei.polimi.it/index.php/Social_Network_Analysis_With_Igraph_Package_Using_R Unfortunately, igraph wasn't able to represent the graph which was made of about 7M nodes, but was useful to calculate global properties. I'm interested in representing a big graph, too! Cheers, Jacopo Il giorno mar, 12/10/2010 alle 12.24 +0200, Alex Averbuch ha scritto: > > igraph is written in Python so not the idea solution, but for a proof > of > concept you could hardcode the coodinates that igraph gives you. Then > once > the actual visualizations are working, work on your own (or integrate > with > another library) layout algorithms. _______________________________________________ Neo4j mailing list [email protected] https://lists.neo4j.org/mailman/listinfo/user
