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 Scopus citations

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
StatePublished - 2010
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: 2010 Apr 262010 Apr 30

Publication series

NameProceedings of the 19th International Conference on World Wide Web, WWW '10

Other

Other19th International World Wide Web Conference, WWW2010
CountryUnited States
CityRaleigh, NC
Period10/04/2610/04/30

Keywords

  • link-based similarity measure
  • scientific literature

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). (Proceedings of the 19th International Conference on World Wide Web, WWW '10). https://doi.org/10.1145/1772690.1772880