Re: very large graph

2008-06-26 Thread boggom
Drawing a large graph like this is not very insightful by itself, and doing this well is still an art form. Many cool visualizations, and all very domain and question dependent, can be found at http://www.visualcomplexity.com/vc/ You can also search on flickr for network and graph drawing. Much o

Re: very large graph

2008-06-24 Thread castironpi
On Jun 24, 5:58 am, "A.T.Hofkamp" <[EMAIL PROTECTED]> wrote: > On 2008-06-24, MRAB <[EMAIL PROTECTED]> wrote: > > > On Jun 24, 1:26 am, [EMAIL PROTECTED] wrote: > >> I need to represent the hyperlinks between a large number of HTML > >> files as a graph.  My non-directed graph will have about 63,00

Re: very large graph

2008-06-24 Thread A.T.Hofkamp
On 2008-06-24, MRAB <[EMAIL PROTECTED]> wrote: > On Jun 24, 1:26 am, [EMAIL PROTECTED] wrote: >> I need to represent the hyperlinks between a large number of HTML >> files as a graph.  My non-directed graph will have about 63,000 nodes >> and and probably close to 500,000 edges. >> >> I have looked

Re: very large graph

2008-06-24 Thread MRAB
On Jun 24, 1:26 am, [EMAIL PROTECTED] wrote: > I need to represent the hyperlinks between a large number of HTML > files as a graph.  My non-directed graph will have about 63,000 nodes > and and probably close to 500,000 edges. > > I have looked into igraph (http://cneurocvs.rmki.kfki.hu/igraph/doc

Re: very large graph

2008-06-23 Thread bearophileHUGS
[EMAIL PROTECTED]: > My non-directed graph will have about 63,000 nodes > and and probably close to 500,000 edges. That's large, but today not very large anymore. Today very large graphs probably have more than millions of nodes... You have to try, but I think any Python graph lib may be fit for y

very large graph

2008-06-23 Thread chrispoliquin
I need to represent the hyperlinks between a large number of HTML files as a graph. My non-directed graph will have about 63,000 nodes and and probably close to 500,000 edges. I have looked into igraph (http://cneurocvs.rmki.kfki.hu/igraph/doc/ python/index.html) and networkX (https://networkx.la