Application of structural equation modelling in exploring tag patterns: A pilot study

Margaret E.I. Kipp, Soohyung Joo

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


This pilot study examines the semantic structure of tag space in Library and Information Science (LIS) using confirmatory factor analysis of social tags from This study is one of the few studies to employ structural equation modelling (SEM) in investigating dimensions of Web spaces based on social tagging data. This study examines the post data collected from 34 LIS related websites bookmarked on Collected data was analysed using three statistical techniques: correlation analysis, exploratory factor analysis and Structural Equation Modelling (SEM), to confirm the structure of the social tagging space. Preliminary analysis shows that the semantic structure of the tagging data shows similar connections to those present in the real world. These methodologies can be used to identify the strength of connections between related tagged websites.

Original languageEnglish
JournalProceedings of the ASIST Annual Meeting
StatePublished - Nov 2010


  • Factor analysis
  • Library and Information Science
  • Structural equation modelling
  • Tagging

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences


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