Motifs in temporal networks
Datasets
Here are some new SNAP datasets that were collected for this paper. The CollegeMsg dataset listed below is derived from the dataset hosted by Tore Opsahl, and we have parsed it here so that it may be read directly by SNAP.
| Name | Nodes | Temporal Edges | Static Edges | Time span | Description |
|---|---|---|---|---|---|
| sx-stackoverflow | 2,601,977 | 63,497,050 | 36,233,450 | 2,774 days | Comments, questions, and answers on Stack Overflow |
| sx-mathoverflow | 24,818 | 506,550 | 239,978 | 2,350 days | Comments, questions, and answers on Math Overflow |
| sx-superuser | 194,085 | 1,443,339 | 924,886 | 2,773 days | Comments, questions, and answers on Super User |
| sx-askubuntu | 159,316 | 964,437 | 596,933 | 2,613 days | Comments, questions, and answers on Ask Ubuntu |
| wiki-talk-temporal | 1,140,149 | 7,833,140 | 3,309,592 | 2,320 days | Users editing talk pages on Wikipedia |
| email-Eu-core-temporal | 986 | 332,334 | 24,929 | 803 days | E-mails between users at a research institution |
| CollegeMsg | 1,899 | 20,296 | 59,835 | 193 days | Messages on a Facebook-like platform at UC-Irvine |
Other datasets analyzed in the paper may be downloaded directly from other sources and loaded immediately into SNAP:
- SMS-A: from the paper Evidence for a bimodal distribution in human communication, Wu et al., PNAS, 2010.
- FBWall: from the paper On the Evolution of User Interaction in Facebook, Viswanath et al., WOSN, 2009.
- Bitcoin: from the paper Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network, Kondor et al., PLOS ONE, 2014.