Matrix: SNAP/soc-sign-epinions
Description: Epinions signed social network
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| (bipartite graph drawing) | (graph drawing of A+A') |
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| Matrix properties | |
| number of rows | 131,828 |
| number of columns | 131,828 |
| nonzeros | 841,372 |
| # strongly connected comp. | 88,609 |
| explicit zero entries | 0 |
| nonzero pattern symmetry | 31% |
| numeric value symmetry | 30% |
| type | integer |
| structure | unsymmetric |
| Cholesky candidate? | no |
| positive definite? | no |
| author | J. Leskovec, D. Huttenlocher, J. Kleinberg |
| editor | J. Leskovec |
| date | 2010 |
| kind | directed weighted 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
Epinions social network
Dataset information
This is who-trust-whom online social network of a a general consumer review
site Epinions.com. Members of the site can decide whether to ''trust'' each
other. All the trust relationships interact and form the Web of Trust which is
then combined with review ratings to determine which reviews are shown to the
user.
Dataset statistics
Nodes 131828
Edges 841372
Nodes in largest WCC 119130 (0.904)
Edges in largest WCC 833695 (0.991)
Nodes in largest SCC 41441 (0.314)
Edges in largest SCC 693737 (0.825)
Average clustering coefficient 0.2424
Number of triangles 4910076
Fraction of closed triangles 0.08085
Diameter (longest shortest path) 14
90-percentile effective diameter 4.9
Source (citation)
J. Leskovec, D. Huttenlocher, J. Kleinberg: Signed Networks in Social Media.
28th ACM Conference on Human Factors in Computing Systems (CHI), 2010.
http://cs.stanford.edu/people/jure/pubs/triads-chi10.pdf
Files
File Description
soc-sign-epinions.txt.gz Directed Epinions signed social network
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.