Matrix: SNAP/soc-Slashdot0811
Description: Slashdot social network from November 2008
(bipartite graph drawing) | (graph drawing of A+A') |
Matrix properties | |
number of rows | 77,360 |
number of columns | 77,360 |
nonzeros | 905,468 |
# strongly connected comp. | 6,724 |
explicit zero entries | 0 |
nonzero pattern symmetry | 87% |
numeric value symmetry | 87% |
type | binary |
structure | unsymmetric |
Cholesky candidate? | no |
positive definite? | no |
author | J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney |
editor | J. Leskovec |
date | 2008 |
kind | directed graph |
2D/3D problem? | no |
Notes:
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 Slashdot social network, November 2008 Dataset information Slashdot is a technology-related news website know for its specific user community. The website features user-submitted and editor-evaluated current primarily technology oriented news. In 2002 Slashdot introduced the Slashdot Zoo feature which allows users to tag each other as friends or foes. The network cotains friend/foe links between the users of Slashdot. The network was obtained in November 2008. Dataset statistics Nodes 77360 Edges 905468 Nodes in largest WCC 77360 (1.000) Edges in largest WCC 905468 (1.000) Nodes in largest SCC 70355 (0.909) Edges in largest SCC 888662 (0.981) Average clustering coefficient 0.0555 Number of triangles 551724 Fraction of closed triangles 0.02416 Diameter (longest shortest path) 10 90-percentile effective diameter 4.7 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 Slashdot0811.txt.gz Slashdot Zoo social network from Noveber 6 2008
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.