# 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:
import graph_tool.all as gt

(and likewise for the other networks available.)

Description

Directed Networks of word adjacency in texts of several languages including English, French, Spanish and Japanese1

1. Description obtained from the ICON project.

Tags
Informational Language Unweighted
Citation
Upstream URL OK
https://doi.org/10.1126/science.1089167
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
darwin 7,381 46,281 6.27 66.54 104.34 7.54 -0.24 0.04 8 1.00 Directed Unipartite name 192 KiB 312 KiB 292 KiB 235 KiB
french 8,325 24,295 2.92 36.54 52.46 13.38 -0.23 0.01 9 1.00 Directed Unipartite name 178 KiB 267 KiB 244 KiB 197 KiB
spanish 11,586 45,129 3.90 63.30 93.51 20.78 -0.28 0.02 10 1.00 Directed Unipartite name 250 KiB 400 KiB 355 KiB 290 KiB
japanese 2,704 8,300 3.07 26.84 38.16 7.39 -0.26 0.03 8 1.00 Directed Unipartite name 59 KiB 87 KiB 77 KiB 63 KiB
Ridiculograms