Complex-network approach for visualizing and quantifying the evolution of a scientific topic

Olesya Mryglod, Bertrand Berche, Yurij Holovatch, Ralph Kenna

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Tracing the evolution of specific topics is a subject area that belongs to the general problem of mapping the structure of scientific knowledge. Often bibliometric databases are used to study the history of scientific topic evolution from its appearance to its extinction or merger with other topics. In this chapter, the authors present an analysis of the academic response to the disaster that occurred in 1986 in Chornobyl (Chernobyl), Ukraine, considered as one of the most devastating nuclear power plant accidents in history. Using a bibliographic database, the distributions of Chornobyl-related papers in different scientific fields are analysed, as are their growth rates and properties of co-authorship networks. Elements of descriptive statistics and tools of complex-network theory are used to highlight interdisciplinary as well as international effects. In particular, tools of complex-network science enable information visualization complemented by further quantitative analysis.

Original languageEnglish
Title of host publicationInformation Visualization Techniques in the Social Sciences and Humanities
PublisherIGI Global
Pages106-120
Number of pages15
ISBN (Electronic)9781522549918
ISBN (Print)1522549900, 9781522549901
DOIs
Publication statusPublished - 23 Mar 2018

Publication series

Name
ISSN (Print)2328-1316
ISSN (Electronic)2328-1324

ASJC Scopus subject areas

  • Computer Science(all)

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    Mryglod, O., Berche, B., Holovatch, Y., & Kenna, R. (2018). Complex-network approach for visualizing and quantifying the evolution of a scientific topic. In Information Visualization Techniques in the Social Sciences and Humanities (pp. 106-120). IGI Global. https://doi.org/10.4018/978-1-5225-4990-1.ch007