Netzschleuder
network catalogue, repository and centrifuge
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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:import graph_tool.all as gt g = gt.collection.ns["google_plus"]
google_plus — Google+ (2013)
- Description
Snapshot of connections among users of Google+, collected in 2012. Nodes are users and a directed edge (i,j) represents user i added user j to i's circle.1
- Tags
- Social Online Unweighted
- Citation
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- M. Fire et al. "Computationally efficient link prediction in a variety of social networks." ACM Transactions on Intelligent Systems and Technology 5(1), Article 10 (2013), https://doi.org/10.1145/2542182.2542192 [@sci-hub]
- Upstream URL OK
- https://data4goodlab.github.io/MichaelFire/#section3
- Networks
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Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv google_plus 211,187 1,506,896 7.14 47.02 261.48 2467.22 0.22 0.27 70 0.96 Directed Unipartite name 6.2 MiB 11.1 MiB 10.8 MiB 8.7 MiB - Ridiculograms
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