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["academia_edu"]
academia_edu — Academica.edu (2011)
- Description
Snapshot of the follower relationships among users of academia.edu, a platform for academics to share research papers, scraped in 2011. Nodes are users and a directed edge (i,j) denotes that user i follows j.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 academia_edu 200,169 1,398,063 6.98 46.24 109.99 78.34 -0.02 0.04 16 1.00 Directed Unipartite name 6.7 MiB 10.5 MiB 10.2 MiB 8.7 MiB - Ridiculograms
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