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You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["arxiv_citation/HepPh"]
(and likewise for the other networks available.)

arxiv_citation — arXiv citation networks (1993-2003)

Description

Citations among papers posted on arxiv.org under the hep-ph and hep-th categories, between 1993 and 2003. This time begins a few months after axiv was launched. If a paper i cites a paper j also in this data set, then a directed edge connects i to j. (Papers not in the data set are excluded.) These data were originally released as part of the 2003 KDD Cup.1


  1. Description obtained from the ICON project. ↩

Tags
Informational Citation Unweighted
Citation
Upstream URL OK
http://snap.stanford.edu/data/cit-HepPh.html
Networks
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
HepPh 34,546 421,578 12.20 30.90 74.33 63.13 -0.01 0.15 14 1.00 Directed Unipartite name date 1.3 MiB 2.4 MiB 2.4 MiB 1.9 MiB
HepTh 27,770 352,807 12.70 45.34 106.83 53.89 -0.03 0.12 15 0.99 Directed Unipartite name date 960 KiB 1.9 MiB 1.9 MiB 1.5 MiB
Ridiculograms*
HepPh drawing
HepPh
HepTh drawing
HepTh
* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.