论文信息 - A link-based similarity measure for scientific literature

A link-based similarity measure for scientific literature

In this paper, we propose a new approach to measure similarities among academic papers based on their references. Our similarity measure uses both in-link and out-link by transforming in-link and out-link into undirected links.

Sunju Park | Seok-Ho Yoon | Sang-Wook Kim

[1] Henry G. Small,et al. Co-citation in the scientific literature: A new measure of the relationship between two documents , 1973, J. Am. Soc. Inf. Sci..

[2] Petra Perner,et al. Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[3] M. M. Kessler. Bibliographic coupling between scientific papers , 1963 .

[4] Jian Pei,et al. Data Mining: Concepts and Techniques, 3rd edition , 2006 .

[5] Yizhou Sun,et al. P-Rank: a comprehensive structural similarity measure over information networks , 2009, CIKM.

[6] Jennifer Widom,et al. SimRank: a measure of structural-context similarity , 2002, KDD.