Visualizing and tracking the growth of competing paradigms: Two case studies

Chaomei Chen, Timothy Cribbin, Robert Macredie, Sonali Morar

Research output: Contribution to journalArticlepeer-review

69 Citations (Scopus)


In this article we demonstrate the use of an integrative approach to visualizing and tracking the development of scientific paradigms. This approach is designed to reveal the long-term process of competing scientific paradigms. We assume that a cluster of highly cited and cocited scientific publications in a cocitation network represents the core of a predominant scientific paradigm. The growth of a paradigm is depicted and animated through the rise of citation rates and the movement of its core cluster towards the center of the cocitation network. We study two cases of competing scientific paradigms in the real world: (1) the causes of mass extinctions, and (2) the connections between mad cow disease and a new variant of a brain disease in humans-vCJD. Various theoretical and practical issues concerning this approach are discussed.

Original languageEnglish
Pages (from-to)678-689
Number of pages12
JournalJournal of the American Society for Information Science and Technology
Issue number8
Publication statusPublished - 2002 Jun

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Artificial Intelligence


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