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arxiv_authors — Arxiv authors (1993-2003)

Description

Co-authorship networks of scientists who submitted papers to five categories of the arXiv e-print repository, compiled by J. Leskovec, J. Kleinberg and C. Faloutsos. The data cover papers submitted from January 1993 to April 2003 (124 months), beginning a few months after the inception of arXiv. Nodes are authors, and an undirected edge connects two authors if they co-authored at least one paper; a paper with $k$ authors thus generates a fully connected subgraph on $k$ nodes. Authors are identified by anonymous numeric identifiers, stored in the node property name, and the networks have no other node or edge properties. The few self-loops of the source edge lists are removed.

There is one network per arXiv category:

  • AstroPh: astrophysics (astro-ph);
  • CondMat: condensed matter physics (cond-mat);
  • GrQc: general relativity and quantum cosmology (gr-qc);
  • HepPh: high energy physics, phenomenology (hep-ph);
  • HepTh: high energy physics, theory (hep-th).
Tags
Social Collaboration Unweighted Projection
Added
2020-08-11
Citation
  • J. Leskovec, J. Kleinberg and C. Faloutsos. "Graph Evolution: Densification and Shrinking Diameters." ACM Transactions on Knowledge Discovery from Data 1(1), article 2 (2007). 10.1145/1217299.1217301 Sci-Hub
Upstream URL OK
https://snap.stanford.edu/data/ca-AstroPh.html
https://snap.stanford.edu/data/ca-CondMat.html
https://snap.stanford.edu/data/ca-GrQc.html
https://snap.stanford.edu/data/ca-HepPh.html
https://snap.stanford.edu/data/ca-HepTh.html
Networks
Tip: click on a column header to sort the list, or hover over it for a description.
Column legend
$\left<k\right>$
Mean degree
$\sigma_k$
Standard deviation of the degrees
$\lambda_h$
Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$
Random walk mixing time
$r$
Degree assortativity
$c$
Global clustering coefficient
$\oslash$
(Pseudo-) diameter
$S$
Relative size of the largest component
NPs
Node properties
EPs
Edge properties
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
AstroPh 133,280 396,160 5.94 27.24 92.56 158.60 0.21 0.32 14 0.13 Undirected Unipartite 2.4 MiB 4.0 MiB 4.1 MiB 3.5 MiB
CondMat 108,300 186,936 3.45 11.85 35.92 138.65 0.14 0.26 15 0.20 Undirected Unipartite 1.9 MiB 2.8 MiB 2.8 MiB 2.4 MiB
GrQc 26,197 28,980 2.21 8.35 44.44 535.05 0.66 0.61 17 0.16 Undirected Unipartite 426 KiB 630 KiB 622 KiB 510 KiB
HepPh 89,209 237,010 5.31 36.78 243.76 561.77 0.63 0.66 13 0.13 Undirected Unipartite 1.5 MiB 2.6 MiB 2.6 MiB 2.2 MiB
HepTh 68,746 51,971 1.51 5.97 30.01 319.87 0.27 0.27 18 0.13 Undirected Unipartite 1.1 MiB 1.5 MiB 1.5 MiB 1.3 MiB
Ridiculograms*
* 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.