A cluster analysis of data mining studies in library and information science from 2006 to 2018. Issue 1 (22nd October 2020)

• Record Type: Journal Article
• Authors: Ma, Jinxuan; Lund, Brady
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 57:Issue 1(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-10-22
• Subjects: data mining -- data sources -- library and information science -- LIS journals; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.413
• Languages: English
• ISSNs: 2373-9231

Abstract

Abstract: Analyzing content from articles published in major LIS journals during the years 2006, 2012, and 2018, this study examines the use of data mining strategies in LIS research. A total of 301 articles were identified that utilized data mining strategies across the 3 years studied, with the JASIST having the most such articles with 42, with Information Processing and Management following close behind with 32. A cluster analysis performed based on word frequency in these articles abstracts identified three unique clusters associated with the topics of Publications/Citations, Consumer Behavior, and Information/Media Use. A cluster analysis of the proportion of articles indicates a shift away from Publications/Citations towards more Consumer Behavior‐based data mining studies.