Subject clustering analysis based on ISI category classification

Lin Zhang, Xinhai Liu, Frizo Janssens, Liming Liang, Wolfgang Glänzel

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

The study focuses on the analysis of the information flow among the ISI subject categories and aims at finding an appropriate field structure of the Web of Science using the subject clustering algorithm developed in previous studies. The clustering journals and ISI subject categories provide two subject classification schemes through different perspectives and levels. The two clustering results have been compared and their accordance and divergence have been analyzed. Several indicators have been used to compare the communication characteristics among different ISI subject categories. The neighbour map of each category clearly reflects the affinities between the "core" category and its satellites around.

Original languageEnglish
Pages (from-to)185-193
Number of pages9
JournalJournal of Informetrics
Volume4
Issue number2
DOIs
Publication statusPublished - Apr 1 2010

Keywords

  • Cross-citation network
  • Journal classification
  • Multi-level Aggregation Method

ASJC Scopus subject areas

  • Computer Science Applications
  • Library and Information Sciences

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