SNAP/soc-Slashdot0902
Slashdot social network from February 2009
| Name |
soc-Slashdot0902 |
| Group |
SNAP |
| Matrix ID |
2287 |
|
Num Rows
|
82,168 |
|
Num Cols
|
82,168 |
|
Nonzeros
|
948,464 |
|
Pattern Entries
|
948,464 |
|
Kind
|
Directed Graph |
|
Symmetric
|
No |
|
Date
|
2009 |
|
Author
|
J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney |
|
Editor
|
J. Leskovec |
| Structural Rank |
|
| Structural Rank Full |
|
|
Num Dmperm Blocks
|
|
|
Strongly Connect Components
|
10,559 |
|
Num Explicit Zeros
|
0 |
|
Pattern Symmetry
|
84.1% |
|
Numeric Symmetry
|
84.1% |
|
Cholesky Candidate
|
no |
|
Positive Definite
|
no |
|
Type
|
binary |
| Download |
MATLAB
Rutherford Boeing
Matrix Market
|
| 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, February 2009
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 February 2009.
Dataset statistics
Nodes 82168
Edges 948464
Nodes in largest WCC 82168 (1.000)
Edges in largest WCC 948464 (1.000)
Nodes in largest SCC 71307 (0.868)
Edges in largest SCC 912381 (0.962)
Average clustering coefficient 0.0617
Number of triangles 602592
Fraction of closed triangles 0.02411
Diameter (longest shortest path) 12
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
Slashdot0902.txt.gz Slashdot Zoo social network from February 0 2009
|
