Abstract: This dataset consists of 'circles' (or 'lists') from Twitter. Twitter data was crawled from public sources. The dataset includes node features (profiles), circles, and ego networks.
Data is also available from Facebook and Google+.
##Dataset statistics
| Attribute |
Value |
| Nodes |
81306 |
| Edges |
1768149 |
| Nodes in largest WCC |
81306 (1.000) |
| Edges in largest WCC |
1768149 (1.000) |
| Nodes in largest SCC |
68413 (0.841) |
| Edges in largest SCC |
1685163 (0.953) |
| Average clustering coefficient |
0.5653 |
| Number of triangles |
13082506 |
| Fraction of closed triangles |
0.06415 |
| Diameter (longest shortest path) |
7 |
| 90-percentile effective diameter |
4.5 |
No license specified, the work may be protected by copyright.
@article{,
title= {Twitter SNAP Network Data},
journal= {},
author= {Stanford Network Analysis Platform (SNAP)},
year= {},
url= {},
abstract= {This dataset consists of 'circles' (or 'lists') from Twitter. Twitter data was crawled from public sources. The dataset includes node features (profiles), circles, and ego networks.
Data is also available from Facebook and Google+.
##Dataset statistics
|Attribute| Value|
|---------|--------|
|Nodes| 81306|
|Edges| 1768149|
|Nodes in largest WCC |81306 (1.000)|
|Edges in largest WCC| 1768149 (1.000)|
|Nodes in largest SCC| 68413 (0.841)|
|Edges in largest SCC |1685163 (0.953)|
|Average clustering coefficient| 0.5653|
|Number of triangles| 13082506|
|Fraction of closed triangles| 0.06415|
|Diameter (longest shortest path)| 7|
|90-percentile effective diameter| 4.5|
},
keywords= {},
terms= {}
}
joecohen
data (3 files)
readme-Ego.txt