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["digg_reply"]
digg_reply — Digg reply network (2008)
- Description
Network of replies among users of digg.com. Each node in the network is a digg user, and each directed edge indicates that user i replied to user j.1
- Tags
- Social Online Unweighted Multigraph
- Citation
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- M. De Choudhury et al., "Social synchrony: Predicting mimicry of user actions in online social media." In Proc. Int. Conf. on Computational Science and Engineering (CSE '09), 151-158, (2009), https://doi.org/10.1109/cse.2009.439 [@sci-hub]
- Upstream URL OK
- http://konect.cc/networks/munmun_digg_reply
- Networks
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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 digg_reply 30,398 87,627 2.88 11.73 28.31 26.22 0.04 0.01 12 0.98 Directed Unipartite weight time 889 KiB 1.3 MiB 1.2 MiB 1.1 MiB - Ridiculograms
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