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["baidu"]

baidu — Chinese online encyclopedias (2011)

Description

Four networks from Chinese online encyclopedias Baidu (百度百科, http://baike.baidu.com/) and Hudong (互动百科, http://www.hudong.com/). Edge direction indicates that page i hyperlinks to page j. Networks come with two types: "internal" and "related to." The former networks are direct hyperlinks between articles, while the latter are "related to" links between articles.¹

Description obtained from the ICON project. ↩

Tags

Informational Web graph Unweighted

Citation

X. Niu et al., "Zhishi.me -- weaving Chinese linking open data." Proc. Internat. Semantic Web Conf. (2011)., https://doi.org/10.1007/978-3-642-25093-4_14 [@sci-hub]

Upstream URL OK

http://konect.cc/networks/zhishi-baidu-internallink

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
baidu	2,141,300	17,794,839	8.31	171.13	431.03	319.36	-0.03	0.00	20	0.98	Directed	Unipartite			76.4 MiB	122.8 MiB	120.3 MiB	105.3 MiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.