Netzschleuder
network catalogue, repository and centrifuge
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You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["karate/77"]
karate — Zachary Karate Club
- Description
Network of friendships among members of a university karate club. Includes metadata for faction membership after a social partition. Note: there are two versions of this network, one with 77 edges and one with 78, due to an ambiguous typo in the original study. (The most commonly used is the one with 78 edges.)1
- Tags
- Social Offline Unweighted
- Citation
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- W. W. Zachary, "An information flow model for conflict and fission in small groups." Journal of Anthropological Research 33, 452-473 (1977)., https://doi.org/10.1086/jar.33.4.3629752 [@sci-hub]
- Upstream URL OK
- https://aaronclauset.github.io/datacode.htm
- Networks
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Tip: click on the table header to sort the list. Hover your mouse over it 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 77 34 77 4.53 3.75 5.25 6.98 -0.47 0.26 5 1.00 Undirected Unipartite name groups 1 KiB 2 KiB 1 KiB 1 KiB 78 34 78 4.59 3.82 5.29 7.05 -0.48 0.26 5 1.00 Undirected Unipartite name groups 1 KiB 2 KiB 1 KiB 1 KiB - Ridiculograms
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77 78