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  • Cited by 31
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    • Publisher:
      Cambridge University Press
      Publication date:
      21 September 2023
      05 October 2023
      ISBN:
      9781139794985
      9781107037786
      9781107611900
      DOI:
      https://doi.org/10.1017/9781139794985
      Dimensions:
      (229 x 152 mm)
      Weight & Pages:
      0.83kg, 476 Pages
      Dimensions:
      (229 x 152 mm)
      Weight & Pages:
      0.7kg, 476 Pages
      • Subjects:
      Social Theory, Statistics for Social Sciences, Behavioral Sciences and Law, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Statistics and Probability, Sociology
      Series:
      Structural Analysis in the Social Sciences
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    Subjects:
    Social Theory, Statistics for Social Sciences, Behavioral Sciences and Law, Research Methods in Sociology and Criminology, Research Methods In Sociology and Criminology, Statistics and Probability, Sociology
    Series:
    Structural Analysis in the Social Sciences
    Information

    Book description

    The size and availability of network information has exploded over the last decade. Social scientists now share the stage of network analysis with computer scientists, physicists, and statisticians. While a number of introductions to network analysis are now available, most focus on theory, methods, or application alone. This book integrates all three. Network Analysis is an introduction to both the why and how of Social Network Analysis (SNA). It presents a broad theoretical overview rooted in social scientific approaches and guides users in how network analysis can answer core theoretical questions. It provides a comprehensive overview of descriptive and analytical approaches, including practical tutorials in R with sample data sets. Using an integrated approach, this book aims to quickly bring novice network researchers up to speed while avoiding common programming and analysis mistakes so that they might gain insight into the fundamental theories, key concepts, and methodological application of SNA.

    Reviews

    ‘This is the text social network analysts have long awaited. Written by four of the most dynamic thinkers in the field, it achieves the impossible on multiple fronts: seamlessly integrating theory, method, and implementation; appropriate for novice and veteran analysts alike; truly comprehensive in scope, from the classic to the cutting edge; and somehow both sophisticated and accessible - featuring, for several important concepts, the clearest and most thoughtful treatment of the material I’ve ever seen. I feel certain it will become the foundational text for the next generation of relational scholars and I can’t wait to have it on my shelf.’

    Kevin Lewis - University of California, San Diego

    ‘This wonderful book manages to cover an incredibly wide range of methodological, substantive, and theoretical issues, always making the connection between these clear to even a novice reader. Using careful, but intuitively accessible, discussions of cases, it translates complex theoretical concepts into concrete analytic examples with code. It is the class on network analysis everyone has wanted to take, distilled into book form.’

    John Levi Martin - University of Chicago

    ‘This book provides a wonderful integration of the theoretical and conceptual basis of social network analysis with modern methods. Traditional methods are not forgotten! The accompanying R tutorials are a great resource. The approach is original and convincing. The book offers excellent material for beginners, but also seasoned network researchers will learn a lot from it.’

    Tom Snijders - Universities of Groningen and Oxford

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