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cora — CORA citations (1998)

Description

Citations among computer science research papers from the Cora collection, assembled by A. McCallum and collaborators in the late 1990s for the Cora research paper search engine. Cora gathered research papers from the web, automatically extracted their references, and classified the papers into a hierarchy of computer science topics. The network was extracted from the Cora data by L. Šubelj and M. Bajec, and contains only papers that were assigned a topic. Nodes are papers and a directed edge $(i,j)$ indicates that paper $i$ cites paper $j$. Citations to papers outside the data set are excluded. The dates of the papers are not included.

The network has the following properties:

  • (Node) cora_id: the paper ID in the original Cora data set.
  • (Node) topic: the topic of the paper in the Cora topic hierarchy, given as a path, e.g. /Artificial_Intelligence/Machine_Learning/Neural_Networks/ (70 topics in total).
Tags
Informational Citation Unweighted Metadata
Added
2020-08-11
Citation
  • A. McCallum, K. Nigam, J. Rennie, K. Seymore, "Automating the Construction of Internet Portals with Machine Learning." Information Retrieval 3(2), 127-163 (2000) 10.1023/A:1009953814988 Sci-Hub
  • L. Šubelj, M. Bajec, "Model of complex networks based on citation dynamics." Proceedings of the 22nd International Conference on World Wide Web (LSNA '13), 527-530 (2013) 10.1145/2487788.2487987 Sci-Hub
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Networks
Tip: hover over a column header 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
cora 23,166 91,500 3.95 11.31 29.28 113.95 -0.05 0.12 20 1.00 Directed Unipartite meta 568 KiB 809 KiB 812 KiB 705 KiB
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.