Twitter (ICWSM)
About this network
This is the directed network containing information about who follows whom on Twitter. Nodes represent users and an edge shows that the left user follows the right one.
Network info
Code | Ws |
Category | ⬤ Social |
Data source | http://www.public.asu.edu/~mdechoud/datasets.html |
Vertex type | User |
Edge type | Follow |
Format | Directed |
Edge weights | Unweighted |
Size | 465,017 vertices (users) |
Volume | 834,797 edges (follows) |
Average degree (overall) | 3.5904 edges / vertex |
Fill | 3.8605 × 10^{–6} edges / vertex^{2} |
Maximum degree | 678 edges |
Reciprocity | 0.301% |
Size of LCC | 465,017 vertices (network is connected) |
Size of LSCC | 1,726 vertices |
Wedge count | 187,988,707 |
Claw count | 28,887,087,190 |
Triangle count | 38,389 |
Square count | 21,828,900 |
4-tour count | 928,253,108 |
Power law exponent (estimated) with d_{min} | 2.4710 (d_{min} = 1) |
Gini coefficient | 69.5% |
Relative edge distribution entropy | 82.3% |
Assortativity | –0.87772 |
Clustering coefficient | 0.0613% |
Diameter | 8 edges |
90-percentile effective diameter | 4.96 edges |
Mean shortest path length | 4.59 edges |
Spectral norm | 81.600 |
Algebraic connectivity | 0.0073170 |
Downloads
TSV file: | munmun_twitter_social.tar.bz2 (2.33 MiB) |
Extraction code: | munmun.tar.bz2 (29.59 KiB) |
RDF: | munmun_twitter_social.n3.bz2 (2.88 MiB) |
References
[1] | Twitter (icwsm) network dataset -- KONECT, October 2016. [ http ] |
[2] | Munmun De Choudhury, Yu-Ru Lin, Hari Sundaram, K. Selçuk Candan, Lexing Xie, and Aisling Kelliher. How does the data sampling strategy impact the discovery of information diffusion in social media? In ICWSM, pages 34--41, 2010. |