SNAP/soc-Slashdot0811
Slashdot social network from November 2008
| Name |
soc-Slashdot0811 |
| Group |
SNAP |
| Matrix ID |
2286 |
|
Num Rows
|
77,360 |
|
Num Cols
|
77,360 |
|
Nonzeros
|
905,468 |
|
Pattern Entries
|
905,468 |
|
Kind
|
Directed Graph |
|
Symmetric
|
No |
|
Date
|
2008 |
|
Author
|
J. Leskovec, K. Lang, A. Dasgupta, M. Mahoney |
|
Editor
|
J. Leskovec |
| Structural Rank |
|
| Structural Rank Full |
|
|
Num Dmperm Blocks
|
|
|
Strongly Connect Components
|
6,724 |
|
Num Explicit Zeros
|
0 |
|
Pattern Symmetry
|
86.7% |
|
Numeric Symmetry
|
86.7% |
|
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, 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
|
