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The methodological status of co-authorship networks [PDF]
, 2008 A powerful strategy within the study of collaboration in science is to posit that co-authorship patterns represent social networks. It is prerequisite to an application of Social Network Analysis (SNA) to define the network entities. A network analysis of the inter-institutional collaboration in COLLNET on the basis of co-authorships was conducted. The
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Analysis of Significance and Evolution of Co-authorship Networks
2016In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others.
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Methods and Models for Co-Authorship Networks
Scientific collaboration, recognized as a crucial driver of research progress and innovation, has increased significantly across all academic disciplines. This trend is further reinforced by government policies at both national and international levels, which actively promote collaborative research initiatives.Amin Gino Fabbrucci Barbagli +2 more
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The Evolution of the Peridynamics Co-Authorship Network
Journal of Peridynamics and Nonlocal Modeling, 2022Biraj Dahal +2 more
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Co-authorship network analysis in cardiovascular research utilizing machine learning (2009–2019)
International Journal of Medical Informatics, 2020Akinori Higaki, Osamu Yamaguchi
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