Thanks to the Gephi team for this long-awaited update - for me, Gephi an essential tool in many aspects of my scientific work, as it allows to express visually very complex datasets of almost any type (interactions between proteins, binding of certain genomic elements, etc) as well as overlay by color or size additional parameters (expression of genes, conservation, mutation rate in the population) - endless possibilities!

From my initial impressions the performance is A LOT better for large networks, which can mean only one thing - I can now play with even LARGER networks :)

Roughly what size networks can you actually get useful information for? Every time I play with Gephi using any network of reasonable size (in my field), it's always a giant useless hairball.

I have tested a few layout algorithms in Gephi for networks with ~200K nodes. It becomes slow but does work.

50-100k nodes, as posters above said, it's very variable on the network structure, but for me I get highly information clusters. Try increasing your cutoff for interaction via edge weight might help.

That's due to the network structure rather than the size. Maybe you can strip/split it to sub-'questions' or weigh nodes or edges?

"Since the last release in 2013, users were facing compatibility issues with Java, which have been resolved with this release."

Finally, I've struggled with this for months on a few different computers.

Thank you for this comment, I may give it another try.

Gephi was a must-have tool when I worked with huge graphs a few years ago. It loaded everything without lagging even a bit, and its auto-layout tools were great! Thanks Gephi team, glad to see you're still doing awesome work!

Hurrah - Gephi is amazing