# 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["movielens_100k"]


# movielens_100k — MovieLens 100K (1998)

Description

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.

Tags
Informational Folksonomy Unweighted Multigraph Timestamps
Citation
Upstream URL OK
http://konect.cc/networks/movielens-10m_ti
Networks
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
Ridiculograms