***** To join INSNA, visit http://www.insna.org ***** As Jacob also recommended, you should look into an Amazon EC2 instance. They have machines with up to 8 cores and 64gb of memory for a few dollars per hour. Drew Conway has an EC2 image that contains a lot of packages and libraries like R and NetworkX you would need for large network analysis: http://www.drewconway.com/zia/?p=2701 This isn't for the faint of heart, but neither is doing an analysis of 50k or 66m nodes. I suspect there isn't much value in even attempting to visualize networks above 10k nodes. On Mon, Nov 21, 2011 at 3:20 AM, Semenov Alexander <[log in to unmask]>wrote: > ***** To join INSNA, visit http://www.insna.org ***** Hello, everybody! > > I used to work with relatively small graphs (like 1209 nodes and 5555 > edges) and even my netbook was good enough for them. But now I have data > like 50 000 nodes and 1 000 000 edges which is really hard to draw and > analyse on my current laptop with Intel Core i7 CPU M620 2.67 GHz, 4 GB RAM > (2,99 GB usable) and 32-bit Windows 7. I even gave a dataset of 66 000 000 > nodes but not even dreaming to work with it yet. > > It seems like I need to buy something more powerful, so I want to hear > your advice about that. What configuration of CPU/RAM is good enough to > feel comfortable with such datasets? > > Thanks in advance! > > Best regards, > Alex. > _____________________________________________________________________ > SOCNET is a service of INSNA, the professional association for social > network researchers (http://www.insna.org). To unsubscribe, send an email > message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET > in the body of the message. -- Brian C. Keegan Ph.D. Student - Media, Technology, & Society School of Communication, Northwestern University Science of Networks in Communities, Laboratory for Collaborative Technology _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.