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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:
import graph_tool.all as gt
g = gt.collection.ns["karate/77"]
(and likewise for the other networks available.)

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


  1. Description obtained from the ICON project. 

Tags
Social Offline Unweighted
Citation
Upstream URL OK
http://tuvalu.santafe.edu/~aaronc/data/
Networks
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
77 drawing
77
78 drawing
78