Where should i publish? Detecting journal similarity based on what have been published there

Rob Koopman, Shenghui Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Finding similar journals within a large amount of existing ones is not a trivial task. Based on the hypothesis that similar journals publish similar articles, we propose in this paper a scalable method based on random projection to calculate the similarities between 35K journals based on 67 millions articles published with them. We evaluate our results against Dewey Decimal codes and analyse the networks of similar journals.

Original languageEnglish
Title of host publication2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
PublisherIEEE
Pages483-484
Number of pages2
ISBN (Electronic)9781479955695
DOIs
Publication statusPublished - 1 Dec 2014
Externally publishedYes
EventJoint Conference on Digital Libraries, JCDL 2014 - London, United Kingdom
Duration: 8 Sep 201412 Sep 2014

Conference

ConferenceJoint Conference on Digital Libraries, JCDL 2014
Abbreviated titleJCDL 2014
CountryUnited Kingdom
CityLondon
Period8/09/1412/09/14
OtherThe Joint Conference on Digital Libraries (JCDL) is a major international forum focusing on digital libraries and associated technical, practical, and social issues. JCDL enhances the tradition of conference excellence already established by the ACM and IEEE-CS by combining the annual events that these professional societies have sponsored on an annual basis, the ACM Digital Libraries Conferences and the IEEE-CS Advances in Digital Libraries Conferences.

Keywords

  • Network analysis
  • Random projection
  • Similarity measures

Cite this