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Exploration of an interdisciplinary scientific landscape

Authors
  • Raimbault, Juste1, 2
  • 1 UMR CNRS 8504 Géographie-cités, Paris, France , Paris (France)
  • 2 UMR-T IFSTTAR 9403 LVMT, Champs-sur-marne, France , Champs-sur-marne (France)
Type
Published Article
Journal
Scientometrics
Publisher
Springer-Verlag
Publication Date
Mar 25, 2019
Volume
119
Issue
2
Pages
617–641
Identifiers
DOI: 10.1007/s11192-019-03090-3
Source
Springer Nature
Keywords
License
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Abstract

Patterns of interdisciplinarity in science can be quantified through complementary dimensions. This paper studies as a case study the scientific environment of a generalist journal in Geography, Cybergeo, in order to introduce a novel methodology combining citation network analysis and semantic analysis. We collect a large corpus of around 200,000 articles with their abstracts and the corresponding citation network that provides a first citation classification. Relevant keywords are extracted for each article through text-mining, allowing us to construct a semantic classification. We study the qualitative patterns of relations between endogenous disciplines within each classification, and finally show the complementarity of classifications and of their associated interdisciplinarity measures. The tools we develop accordingly are open and reusable for similar large scale studies of scientific environments. Our contribution therefore provides, besides the methodology, a new way to construct open databases and study journals for which data are difficult to obtain.

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