arxiv_citation — arXiv citation networks (1993-2003)

Description

Citation networks among papers posted on the arXiv e-print repository in two categories of high energy physics, phenomenology (HepPh) and theory (HepTh). The data cover papers posted from January 1993 to April 2003 (124 months), beginning a few months after the inception of arXiv, and were originally released as part of the 2003 KDD Cup (with data provided by P. Ginsparg and arXiv). A directed edge $i \to j$ means that paper $i$ cites paper $j$. Only citations among papers in the data set are included: citations to or from papers outside of it are not recorded.

The networks have the following properties:

(Node) name: the arXiv identifier of the paper within its category, as an integer, i.e. without the leading zeros (e.g. 9301253 is hep-ph/9301253, and 1001 is hep-th/0001001).
(Node) date: the date the paper was first submitted to arXiv (YYYY-MM-DD). In HepPh, the dates are those published by SNAP, and are empty for the 3,988 papers without a date there; in HepTh, they are SLAC's submission dates from the original KDD Cup 2003 data, available for all papers (SNAP's file of HepTh dates is a copy of the HepPh one).

Tags

Informational Citation Unweighted

Added

2020-08-11

Citation

J. Gehrke, P. Ginsparg, J. M. Kleinberg. "Overview of the 2003 KDD Cup." SIGKDD Explorations 5(2), 149-151 (2003) 10.1145/980972.980992 Sci-Hub

Upstream URL OK

https://snap.stanford.edu/data/cit-HepPh.html
https://snap.stanford.edu/data/cit-HepTh.html
https://www.cs.cornell.edu/projects/kddcup/datasets.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
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	2.3 MiB	2.0 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	1.8 MiB	1.8 MiB	1.6 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.