Netzschleuder
network catalogue, repository and centrifuge
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The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["twitter_events/NYClimateMarch2014"]
twitter_events — Twitter, 5 events (2013-2014)
- Description
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.1
- Tags
- Social Online Multilayer Unweighted
- Citation
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- E. Omodei, M. De Domenico, and A. Arenas. "Characterizing interactions in online social networks during exceptional events." Front. Phys. 3, 59 (2015), https://doi.org/10.3389/fphy.2015.00059 [@sci-hub]
- Upstream URL OK
- https://manliodedomenico.com/data.php
- Upstream license
- Open Data Commons Open Database License (ODbL), https://opendatacommons.org/licenses/odbl/
- Networks
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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 NYClimateMarch2014 102,439 353,495 3.45 81.41 139.00 206.47 -0.11 0.01 12 0.97 Directed Unipartite name nodeLabel weight layer 2.3 MiB 4.3 MiB 3.9 MiB 3.2 MiB Cannes2013 438,537 991,854 2.26 55.27 94.95 2685.36 -0.09 0.00 18 0.85 Directed Unipartite name nodeLabel weight layer 9.0 MiB 15.7 MiB 14.8 MiB 13.0 MiB MoscowAthletics2013 88,804 210,250 2.37 56.37 80.07 491.78 -0.17 0.01 18 0.92 Directed Unipartite name nodeLabel weight layer 1.8 MiB 3.2 MiB 3.0 MiB 2.4 MiB MLKing2013 327,707 396,671 1.21 38.60 34.77 704.05 -0.13 0.00 23 0.82 Directed Unipartite name nodeLabel weight layer 5.8 MiB 9.7 MiB 9.5 MiB 8.2 MiB ObamaInIsrael2013 2,281,259 4,061,960 1.78 48.90 166.63 2761.87 -0.03 0.00 33 0.67 Directed Unipartite name nodeLabel weight layer 15.0 MiB 27.7 MiB 22.3 MiB 24.1 MiB