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Analysis of Co-authorship Networks

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Complex Networks in Software, Knowledge, and Social Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 148))

Abstract

Scientific collaboration can be quantitatively studied by analyzing the structure and evolution of co-authorship networks. In this chapter we present a comprehensive overview of research studies focused on empirical analysis of co-authorship networks. Typical structural and evolutionary characteristics of co-authorship networks are identified by an aggregate analysis of examined studies.

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Notes

  1. 1.

    At that time, Christopher Lee had the lowest closeness centrality in the collaboration network of Hollywood actors (a network frequently analyzed in complex network analysis literature).

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Authors and Affiliations

  1. Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia

    Miloš Savić & Mirjana Ivanović

  2. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, P.O. Box 123, Broadway, Sydney, NSW 2007, Australia

    Lakhmi C. Jain

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  1. Miloš Savić
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Savić, M., Ivanović, M., Jain, L.C. (2019). Analysis of Co-authorship Networks. In: Complex Networks in Software, Knowledge, and Social Systems. Intelligent Systems Reference Library, vol 148. Springer, Cham. https://doi.org/10.1007/978-3-319-91196-0_7

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