3 ms·
To be fair, a large part of the problem is that many graph-related algorithms are simply very expensive (computationally). For example, many layouts (especially
by uniqueuid 5y ago
To be fair, a large part of the problem is that many graph-related algorithms are simply very expensive (computationally). For example, many layouts (especially classical ones such as Fruchterman-Rheingold) are very slow. That often makes visualization frustrating when you have more than a couple of hundred nodes and/or a dense network. And we should acknowledge that the Gephi people have put a lot of work into making it work.
So network analysis evidently benefits from think-then-do approaches, while exploratory work is really hard.