Twitter userâ€“hashtag
About this network
This is a bipartite network consisting of Twitter users and tags they mentioned in their postings. Left nodes represent users and right nodes represent tags. An edge shows that a tag was used by a user in a tweet.
Network info
Code | Wut |
Category | ⬤ Folksonomy |
Data source | http://www.public.asu.edu/~mdechoud/datasets.html |
Vertex type | User, hashtag |
Edge type | Usage |
Format | Bipartite |
Edge weights | Multiple unweighted |
Metadata | Timestamps Incomplete |
Size | 880,846 = 705,632 + 175,214 vertices (users + hashtags) |
Volume | 4,664,605 edges (usages) |
Unique volume | 1,890,661 edges (usages) |
Average degree (overall) | 13.221 edges / vertex |
Average user degree | 26.622 edges / vertex |
Average hashtag degree | 8.7942 edges / vertex |
Fill | 2.0344 × 10^{–5} edges / vertex^{2} |
Maximum degree | 90,362 edges |
Wedge count | 1,006,768,611 |
Claw count | 3,620,991,361,242 |
Square count | 206,508,691 |
4-tour count | 5,682,999,878 |
Power law exponent (estimated) with d_{min} | 2.6010 (d_{min} = 34) |
Gini coefficient | 84.3% |
Relative edge distribution entropy | 88.3% |
Assortativity | –0.098656 |
Diameter | 16 edges |
90-percentile effective diameter | 5.89 edges |
Mean shortest path length | 5.32 edges |
Spectral norm | 2216.5 |
Algebraic connectivity | 0.0030779 |
Preferential attachment exponent | 0.84305 (Îµ = 2.4783) |
Downloads
TSV file: | munmun_twitterex_ut.tar.bz2 (27.38 MiB) |
Extraction code: | munmun.tar.bz2 (29.59 KiB) |
References
[1] | Twitter userâ€“hashtag network dataset -- KONECT, April 2017. [ http ] |
[2] | Munmun De Choudhury, Yu-Ru Lin, Hari Sundaram, K. SelÃƒÂ§uk 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. |