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Integration by Parts: Collaboration and Topic Structure in the CogSci Community
Isabella DeStefano1, Lauren A Oey1, Erik Brockbank1
1Department of Psychology, University of California, San Diego.
Topics in Cognitive Science
|March 20, 2021
Summary
Cognitive science is becoming more integrated, with increasing collaboration across authors and topics. This study used network analysis and topic modeling to quantify this interdisciplinary trend over 19 years.
Area of Science:
- Cognitive Science
- Bibliometrics
- Network Science
Background:
- The interdisciplinary nature of cognitive science is a long-standing debate.
- Quantifying the degree of integration in scientific communities is challenging.
Purpose of the Study:
- To quantitatively assess the interdisciplinary integration of cognitive science.
- To analyze collaboration patterns and topic similarity in cognitive science research.
Main Methods:
- Graph theoretic analysis of co-authorship networks (edge density, transitivity, maximum subgraph size).
- Clustering analysis of scientific topics using semantic similarity.
- Combined structural and semantic analysis of author collaboration choices.
- Comparative analysis with the Vision Science Society.
Main Results:
- Collaboration across authors and topics in cognitive science has significantly increased from 2000 to 2019.
- The study successfully predicted new collaborations using the developed quantitative approach.
- Findings suggest a growing integration within the cognitive science community.
Conclusions:
- A quantitative approach combining network structure and semantic topic analysis is effective for assessing interdisciplinary collaboration.
- Cognitive science exhibits increasing integration, moving towards a more unified interdisciplinary structure.
- This methodology can be applied to other scientific communities to study collaboration dynamics.
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