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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["movielens_100k"]

movielens_100k — MovieLens 100K (1998)


Three bipartite networks that make up the MovieLens 100K Dataset, a stable benchmark dataset of 100,000 ratings from 1000 users on 1700 movies. These data capture the tag-movie, user-movie, and user-tag networks. (Also available from MovieLens are 1M, 10M and 20M folksonomy datasets.)1

  1. Description obtained from the ICON project. 

Informational Folksonomy Unweighted Multigraph Timestamps
Upstream URL OK
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
movielens_100k 24,129 95,580 7.92 22.20 40.18 39.85 -0.03 0.00 14 0.98 Undirected Bipartite weight time 747 KiB 1.0 MiB 1.0 MiB 968 KiB
None drawing