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Network datasets

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In Python, you can load each dataset through the load_netset function of scikit-network.

WikiSchools Graph: 112,834 edges
Bipartite graph: 474,138 edges

Articles of Wikipedia for schools with links between them and words used in summaries.

WikiVitals Graph: 792,091 edges
Bipartite graph: 995,919 edges

Vital articles of Wikipedia (level 4) with links between them and words used in summaries.

WikiVitals+ Graph: 3,294,225 edges
Bipartite graph: 3,209,705 edges

Vital articles of Wikipedia (level 5) with links between them and words used in summaries.

WikiHumans Graph: 3,923,957 edges
Bipartite graph: 18,696,818 edges

Articles of Wikipedia on humans with links between them and links to other articles.

WikiLinks Graph: 67,196,296 edges
Bipartite graph: 138,134,642 edges

Articles of Wikipedia with links between them and words used in summaries.

OpenFlights Graph: 36,386 edges

Airports with daily number of flights between them.

French National Assembly Bipartite graph: 268,892 edges

Graph between French deputies and law bills.

Cinema Bipartite graph: 304,006 edges

Graph between movies and actors.

20NewsGroups Bipartite graph: 1,227,059 edges

Graph between messages (in 20 newsgroups) and words.

CiteSeer Graph: 9,072 edges

Graph of scientific publications.

Cora Graph: 10,556 edges

Graph of scientific publications.

PolBlogs Graph: 19,025 edges

Graph of political blogs and links between them.

Contact us

first_name.last_name@telecom-paris.fr

Thomas Bonald | Nathan de Lara | Quentin Lutz

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19 Place Marguerite Perey

91120 Palaiseau

France

Find us on GitHub.