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Exploratory Social Network Analysis with Pajek
Revised and Expanded Edition for Updated Software

3rd Edition


Part of Structural Analysis in the Social Sciences

  • Date Published: September 2018
  • availability: In stock
  • format: Paperback
  • isbn: 9781108462273

£ 36.99

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About the Authors
  • An extensively revised and expanded third edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek). The main structural concepts and their applications in social research are introduced with exercises. Pajek software and datasets are available, so readers can learn network analysis through application and case studies. In the end readers will have the knowledge, skills, and tools to apply social network analysis across different disciplines. A fundamental redesign of the menu structure and the capability to analyze much larger networks required a new edition. This edition presents several new operations including community detection, generalized main paths searches, new network indices, advanced visualization approaches, and instructions for installing Pajek under MacOSX. This third edition is up-to-date with Pajek version 5 and it introduces PajekXXL for very large networks and Pajek3XL for huge networks.

    • Offers an extensively revised and expanded edition of the successful textbook on analysis and visualization of social networks integrating theory, applications, and professional software for performing network analysis (Pajek)
    • Introduces primary structural concepts and their applications in social research with practical exercises
    • Elaborates on new operations, such as community detection, generalized main paths searches, new network indices, and advanced visualization approaches
    Read more

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    Product details

    • Edition: 3rd Edition
    • Date Published: September 2018
    • format: Paperback
    • isbn: 9781108462273
    • length: 484 pages
    • dimensions: 229 x 151 x 27 mm
    • weight: 0.66kg
    • availability: In stock
  • Table of Contents

    Part I. Fundamentals:
    1. Looking for social structure
    2. Attributes and relations
    Part II. Cohesion:
    3. Cohesive subgroups
    4. Sentiments and friendship
    5. Affiliations
    Part III. Brokerage:
    6. Center and periphery
    7. Brokers and bridges
    8. Diffusion
    Part IV. Ranking:
    9. Prestige
    10. Ranking
    11. Genealogies and citations
    Part V. Roles:
    12. Blockmodels
    13. Random graph models.

  • Authors

    Wouter De Nooy, Universiteit van Amsterdam
    Wouter de Nooy is Associate Professor in the Department of Communication Science at the Universiteit van Amsterdam, the Netherlands. He is a member of the Amsterdam School of Communication Research ASCoR. His research interests include dynamic models for social networks and their application in culture and politics.

    Andrej Mrvar, University of Ljubljana
    Andrej Mrvar is Professor of Social Science Informatics at the Faculty of Social Sciences, University of Ljubljana, Slovenia. He started developing programs Pajek, PajekXXL and Pajek3XL as part of his Ph.D. dissertation at the Faculty of Computer and Information Science in 1996. Since then Pajek has been in constant development.

    Vladimir Batagelj, University of Ljubljana
    Vladimir Batagelj is Professor Emeritus of the University of Ljubljana, Slovenia. He is also a member of Inštitut za matematiko, fiziko in mehaniko (IMFM), Ljubljana, and of the Univerza na Primorskem, Inštitut Andrej Marušič (UP, IAM), Koper. His co-authored book Generalized Blockmodeling (Cambridge, 2005) was awarded the 2007 Harrison White Outstanding Book Award by the Mathematical Sociology Section of American Sociological Association (ASA). From International Network for Social Network Analysis (INSNA) he was awarded the Georg Simmel Award (2007) and the Richards Software Award for the program Pajek (2013). In 2014 he co-authored a book entitled Understanding Large Temporal Networks and Spatial Networks.

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