arxiv_collab — Scientific collaborations in physics (1995-2005)
- Description
Weighted co-authorship networks of scientists who posted preprints on the arXiv e-print repository, compiled by M. E. J. Newman. Nodes are authors, identified by their surname and initials, and an undirected edge connects two authors if they co-authored at least one preprint. There is one network for each of three arXiv archives over the period 1995–1999 (
astro-ph-1999: astrophysics;cond-mat-1999: condensed matter physics;hep-th-1999: high energy physics, theory), and two updated versions of the condensed matter network, covering preprints posted between January 1, 1995 and June 30, 2003 (cond-mat-2003) and between January 1, 1995 and March 31, 2005 (cond-mat-2005).Edge weights account for the fact that authors of papers with many co-authors know each other less well on average: each paper $k$ with $n_k$ authors contributes $1/(n_k-1)$ to the weight of the edge between each pair of its authors, so that $w_{ij} = \sum_k \delta_i^k\delta_j^k/(n_k-1)$, where $\delta_i^k=1$ if $i$ is an author of paper $k$ and $0$ otherwise. Papers with a single author do not contribute. Since authors are identified by surname and initials, different people with the same surname and initials may be merged into a single node, and the same person may appear under different names.
The networks have the following properties:
- (Node)
label: the author's name ("SURNAME, INITIALS"). - (Edge)
value: the collaboration weight $w_{ij}$ described above.
- (Node)
- Tags
- Social Collaboration Weighted Projection
- Added
- 2020-08-11
- Citation
-
- M. E. J. Newman, "The structure of scientific collaboration networks." Proc. Natl. Acad. Sci. USA 98(2), 404-409 (2001). arxiv:cond-mat/0007214 10.1073/pnas.98.2.404 Sci-Hub
- Upstream URL OK
- http://www-personal.umich.edu/~mejn/netdata/
- 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 cond-mat-1999 16,726 47,594 5.69 6.42 23.14 138.86 0.18 0.36 18 0.83 Undirected Unipartite label value 457 KiB 703 KiB 691 KiB 569 KiB cond-mat-2003 31,163 120,029 7.70 10.40 38.30 233.87 0.18 0.28 16 0.88 Undirected Unipartite label value 887 KiB 1.4 MiB 1.4 MiB 1.2 MiB cond-mat-2005 40,421 175,692 8.69 12.73 49.17 232.91 0.19 0.25 18 0.90 Undirected Unipartite label value 1.2 MiB 2.0 MiB 2.0 MiB 1.6 MiB astro-ph-1999 16,706 121,251 14.52 21.01 72.21 304.20 0.24 0.43 14 0.89 Undirected Unipartite label value 560 KiB 1.0 MiB 1008 KiB 839 KiB hep-th-1999 8,361 15,751 3.77 4.31 22.00 178.64 0.29 0.33 19 0.70 Undirected Unipartite label value 218 KiB 320 KiB 313 KiB 256 KiB - Ridiculograms*