Description: Web graph of Berkeley and Stanford
|(bipartite graph drawing)||(graph drawing of A+A')|
|number of rows||685,230|
|number of columns||685,230|
|# strongly connected comp.||109,406|
|explicit zero entries||0|
|nonzero pattern symmetry||25%|
|numeric value symmetry||25%|
Networks from SNAP (Stanford Network Analysis Platform) Network Data Sets, Jure Leskovec http://snap.stanford.edu/data/index.html email jure at cs.stanford.edu Berkeley-Stanford web graph NOTE: This is an earlier version (2002) of the data obtained from Sep Kamvar, Stanford (2003) (the Kamvar/Stanford_Berkeley graph in the UF collection, matrix ID 980). Dataset information Nodes represent pages from berkely.edu and stanford.edu domains and directed edges represent hyperlinks between them. The data was collected in 2002. Dataset statistics Nodes 685230 Edges 7600595 Nodes in largest WCC 654782 (0.956) Edges in largest WCC 7499425 (0.987) Nodes in largest SCC 334857 (0.489) Edges in largest SCC 4523232 (0.595) Average clustering coefficient 0.6149 Number of triangles 64690980 Fraction of closed triangles 0.08769 Diameter (longest shortest path) 669 90-percentile effective diameter 10 Source (citation) J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney. Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters. arXiv.org:0810.1355, 2008. Files File Description web-BerkStan.txt.gz Berkely-Stanford web graph from 2002 NOTE: a near duplicate of this problem already appears in the UF Collection: web-BerkStan Kamvar/Stanford_Berkeley in SNAP/: n: 685,230 nz: 7,600,595 in Kamvar/ n: 683,446 nz: 7,583,376 I obtained the Kamvar/Stanford_Berkeley directly from Sep Kamvar. It is slightly smaller than the version in SNAP. It is thus likely that Sep created multiple versions of the graph.
For a description of the statistics displayed above, click here.
Maintained by Tim Davis, last updated 12-Mar-2014.
Matrix pictures by cspy, a MATLAB function in the CSparse package.
Matrix graphs by Yifan Hu, AT&T Labs Visualization Group.