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Investigating scientific mobility in co-authorship networks using multilayer temporal motifs

Published online by Cambridge University Press:  07 October 2021

Hanjo D. Boekhout*
Affiliation:
Department of Computer Science (LIACS), Leiden University, The Netherlands (e-mail: [email protected]) Centre for Science & Technology Studies (CWTS), Leiden University, The Netherlands (e-mail: [email protected])
Vincent A. Traag
Affiliation:
Centre for Science & Technology Studies (CWTS), Leiden University, The Netherlands (e-mail: [email protected])
Frank W. Takes
Affiliation:
Department of Computer Science (LIACS), Leiden University, The Netherlands (e-mail: [email protected])
*
*Corresponding author. Email: [email protected]
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Abstract

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This paper introduces a framework for understanding complex temporal interaction patterns in large-scale scientific collaboration networks. In particular, we investigate how two key concepts in science studies, scientific collaboration and scientific mobility, are related and possibly differ between fields. We do so by analyzing multilayer temporal motifs: small recurring configurations of nodes and edges.

Driven by the problem that many papers share the same publication year, we first provide a methodological contribution: an efficient counting algorithm for multilayer temporal motifs with concurrent edges. Next, we introduce a systematic categorization of the multilayer temporal motifs, such that each category reflects a pattern of behavior relevant to scientific collaboration and mobility. Here, a key question concerns the causal direction: does mobility lead to collaboration or vice versa? Applying this framework to scientific collaboration networks extracted from Web of Science (WoS) consisting of up to 7.7 million nodes (authors) and 94 million edges (collaborations), we find that international collaboration and international mobility reciprocally influence one another. Additionally, we find that Social sciences & Humanities (SSH) scholars co-author to a greater extent with authors at a distance, while Mathematics & Computer science (M&C) scholars tend to continue to collaborate within the established knowledge network and organization.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press

Footnotes

Action Editor: Ulrik Brandes

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