CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature

Drexel University

Indexed incrossref

Abstract

Abstract This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time‐variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co‐citation footprint in scientific literature—an evolving network of scientific…

Citation impact

6,023
total citations
FWCI
10.54
Percentile
100%
References
60
Citations per year

Authors

1

Topics & keywords

Keywords
  • Visualization
  • Data science
  • Betweenness centrality
  • Computer science
  • Citation
  • Domain (mathematical analysis)
  • Information visualization
  • Centrality
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