Netzschleuder
network catalogue, repository and centrifuge
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The network in this dataset can be loaded directly from graph-tool with:import graph_tool.all as gt g = gt.collection.ns["netscience"]
netscience — Scientific collaborations in network science (2006)
- Description
A coauthorship network among scientists working on network science, from 2006. This network is a one-mode projection from the bipartite graph of authors and their scientific publications.1
- Tags
- Social Collaboration Weighted Projection
- Citation
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- M. E. J. Newman, "Finding community structure in networks using the eigenvectors of matrices." Phys. Rev. E 74, 036104 (2006). arxiv:physics/0605087, https://doi.org/10.1103/physreve.74.036104 [@sci-hub]
- Upstream URL OK
- https://doi.org/10.1103/physreve.74.036104/
- 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 netscience 1,589 2,742 3.45 3.47 18.02 329.88 0.46 0.69 17 0.24 Undirected Unipartite label value 42 KiB 58 KiB 56 KiB 46 KiB - Ridiculograms
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