A Methodology for the Analysis of Collaboration Networks with Higher-Order Interactions
被引:2
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作者:
Aguirre-Guerrero, Daniela
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机构:
Univ Autonoma Metropolitana, Dept Appl Math & Syst, Mexico City 05348, MexicoUniv Autonoma Metropolitana, Dept Appl Math & Syst, Mexico City 05348, Mexico
Aguirre-Guerrero, Daniela
[1
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Bernal-Jaquez, Roberto
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Univ Autonoma Metropolitana, Dept Appl Math & Syst, Mexico City 05348, MexicoUniv Autonoma Metropolitana, Dept Appl Math & Syst, Mexico City 05348, Mexico
Bernal-Jaquez, Roberto
[1
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机构:
[1] Univ Autonoma Metropolitana, Dept Appl Math & Syst, Mexico City 05348, Mexico
Scientific research often involves collaboration among researchers, and coauthorship networks are a common means of exploring these collaborations. However, traditional coauthorship networks represent coauthorship relations using simple links, i.e., pairwise interactions, which fail to capture the strength of scientific collaborations in either small or large groups. In this study, we propose a novel methodology to address this issue, which involves using a multilayer network model that captures the strength of coauthorship relations and employs a convergence index to identify the collaboration order in which these properties converge. We apply this methodology to investigate the collaborative behavior of researchers in the context of the three main public universities in Mexico over the last decade, using Scopus data as the primary source of information. Our study reveals that community structure emerges in low-order collaborations, and higher-order collaborations lead to increased clustering and centrality measures. Our methodology provides a comprehensive and insightful way of analyzing scientific collaborations and sheds light on the dynamics of scientific collaboration, providing a valuable tool for future studies. Our proposed model and convergence index can be applied to other scientific domains to better capture the strength of collaborations among researchers.
机构:
Department of Mathematics, University of Hawaii at Manoa, Honolulu,HI,96822, United StatesDepartment of Mathematics, Vrije Universiteit Amsterdam, DE Boelelaan 1111, Amsterdam, Netherlands
Gross, Elizabeth
Harrington, Heather A.
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机构:
Mathematical Institute and Wellcome Centre for Human Genetics, University of Oxford, Oxford,OX2 6GG, United KingdomDepartment of Mathematics, Vrije Universiteit Amsterdam, DE Boelelaan 1111, Amsterdam, Netherlands
Harrington, Heather A.
Schaub, Michael T.
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机构:
Department of Computer Science, RWTH Aachen, Aachen,52074, GermanyDepartment of Mathematics, Vrije Universiteit Amsterdam, DE Boelelaan 1111, Amsterdam, Netherlands