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Cited by 1,970

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Analyzing Social Networks

Open access
Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens·2024·SAGE Publications Ltd eBooks

Abstract

Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals. Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers:• Case studies and examples using real data • Exercises drawn from the authors’ decades of teaching experience • Online access to datasets, worked examples and a software manual to help you practice your skills.Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one

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Metadata

Authors
Borgatti, S. P., Everett, M. G., Johnson, J. C., & Agneessens, F.
Venue
SAGE Publications Ltd eBooks
Publisher
SAGE Publishing
Published
2024-01-01
OpenAlex
W2111649090
Cited by
1,970
References
0
FWCI
40.91
Type
book
Language
en
Open access
green

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CoChat. (2026). Citation check: Analyzing Social Networks. https://app.cochat.ai/papers/10.4135/9781036236021
The paper
Borgatti, S. P., Everett, M. G., Johnson, J. C., & Agneessens, F. (2024). Analyzing Social Networks. SAGE Publications Ltd eBooks. https://doi.org/10.4135/9781036236021

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.