A link-based similarity measure for scientific literature

Seok Ho Yoon, Sang Wook Kim, Sunju Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on World Wide Web, WWW '10
Pages1213-1214
Number of pages2
DOIs
Publication statusPublished - 2010 Jul 20
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: 2010 Apr 262010 Apr 30

Other

Other19th International World Wide Web Conference, WWW2010
CountryUnited States
CityRaleigh, NC
Period10/4/2610/4/30

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Yoon, S. H., Kim, S. W., & Park, S. (2010). A link-based similarity measure for scientific literature. In Proceedings of the 19th International Conference on World Wide Web, WWW '10 (pp. 1213-1214) https://doi.org/10.1145/1772690.1772880