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2019 | OriginalPaper | Chapter

7. Analysis of Co-authorship Networks

Authors : Miloš Savić, Mirjana Ivanović, Lakhmi C. Jain

Published in: Complex Networks in Software, Knowledge, and Social Systems

Publisher: Springer International Publishing

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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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previous chapter Extraction of Co-authorship Networks

next chapter Analysis of Enriched Co-authorship Networks: Methodology and a Case Study

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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Title: Analysis of Co-authorship Networks
Authors: Miloš Savić
Mirjana Ivanović
Lakhmi C. Jain
Publisher: Springer International Publishing
Book: Complex Networks in Software, Knowledge, and Social Systems
Print ISBN: 978-3-319-91194-6

Electronic ISBN: 978-3-319-91196-0

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-91196-0_7

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