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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"]
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
|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|