TL;DR
This paper introduces a novel methodology combining citation network and semantic analysis to quantify interdisciplinarity in scientific research, demonstrated through a case study of the journal Cybergeo.
Contribution
It presents an innovative approach that integrates citation and semantic classifications to analyze interdisciplinary patterns in large scientific corpora.
Findings
Semantic and citation classifications are complementary.
Interdisciplinary measures vary across classifications.
Tools developed are open and reusable for large-scale studies.
Abstract
Patterns of interdisciplinarity in science can be quantified through diverse 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…
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