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["bookcrossing"]
bookcrossing — BookCrossing ratings (2005)
- Description
Two bipartite networks representing people and the books they have interacted with, from the BookCrossing website. Nodes represent users and books, and an edge connects a user to a book they have interacted with. The file book_implicit is unweighted; edge weights in book_ratings give the rating a user assigned to a book.1
- Tags
- Economic Preferences Unweighted Weighted
- Citation
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- C. Ziegler et al. "Improving recommendation lists through topic diversification." Proc. 14th Internat. Conf. on World Wide Web (WWW 2005)., https://doi.org/10.1145/1060745.1060754 [@sci-hub]
- Upstream URL OK
- http://konect.cc/networks/bookcrossing_full-rating
- 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 bookcrossing 445,801 1,149,739 5.16 45.45 134.05 187.56 -0.08 0.00 19 0.94 Undirected Bipartite 9.1 MiB 13.1 MiB 12.8 MiB 11.8 MiB - Ridiculograms
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