social_location — Location-based social networks
- Description
Friendship networks of two location-based online social networks, Gowalla and Brightkite, where users shared their locations by "checking in" at places. Nodes are users and an undirected edge indicates a friendship between two users. The networks were collected from the services' public APIs by Cho, Myers and Leskovec, and distributed by the Stanford Network Analysis Project (SNAP).
gowalla: 196,591 users and 950,327 friendships.brightkite: 58,228 users and 214,078 friendships.
The check-ins of the users (about 6.4 million for Gowalla, from February 2009 to October 2010, and 4.5 million for Brightkite, from April 2008 to October 2010), which are also distributed by SNAP, are not included in the networks. The networks have no node or edge properties.
- Tags
- Social Online Spatial
- Citation
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- E. Cho, S. A. Myers, and J. Leskovec, "Friendship and mobility: user movement in location-based social networks." Proc. 17th Internat. Conf. on Knowledge Discovery and Data Mining (KDD), 1082-1090 (2011). 10.1145/2020408.2020579 Sci-Hub
- Upstream URL OK
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https://snap.stanford.edu/data/loc-Gowalla.html
https://snap.stanford.edu/data/loc-Brightkite.html - Networks
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Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv gowalla 196,591 1,900,654 19.34 107.16 159.86 160.56 -0.03 0.02 16 1.00 Undirected Unipartite 5.9 MiB 10.6 MiB 10.2 MiB 8.2 MiB brightkite 58,228 428,156 14.71 40.71 99.90 259.98 0.01 0.11 18 0.97 Undirected Unipartite 1.5 MiB 2.7 MiB 2.7 MiB 2.3 MiB - Ridiculograms*