Twitter user–URL
About this network
This is the bipartite network consisting of Twitter users and the URLs they mentioned in their postings. Left nodes represent users and right nodes represent URLs. An edge shows that an URL was mentioned by a user in a tweet.
Network info
Code | Wui |
Category | ⬤ Folksonomy |
Data source | http://www.public.asu.edu/~mdechoud/datasets.html |
Vertex type | User, URL |
Edge type | Mention |
Format | Bipartite |
Edge weights | Multiple unweighted |
Metadata | Timestamps Incomplete |
Size | 9,618,743 = 9,374,206 + 244,537 vertices (users + urls) |
Volume | 12,656,613 edges (mentions) |
Unique volume | 10,214,177 edges (mentions) |
Average degree (overall) | 2.7003 edges / vertex |
Average user degree | 51.757 edges / vertex |
Average url degree | 1.3863 edges / vertex |
Fill | 4.5751 × 10^{–6} edges / vertex^{2} |
Maximum degree | 24,106 edges |
Wedge count | 708,995,210 |
Claw count | 1,155,590,474,676 |
Square count | 53,711,135 |
4-tour count | 3,286,104,890 |
Power law exponent (estimated) with d_{min} | 3.2610 (d_{min} = 1) |
Gini coefficient | 62.4% |
Relative edge distribution entropy | 90.6% |
Assortativity | –0.042714 |
Diameter | 30 edges |
90-percentile effective diameter | 9.76 edges |
Mean shortest path length | 8.13 edges |
Spectral norm | 1713.8 |
Preferential attachment exponent | 0.28074 (ε = 1.3000) |
Downloads
Extraction code: | munmun.tar.bz2 (29.59 KiB) |
References
[1] | Twitter user–url 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. |