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Social network analysis / David Knoke, University of Minnesota, Song Yang, University of Arkansas.

By: Contributor(s): Material type: TextTextSeries: Quantitative applications in the social sciencesPublication details: London Sage 2020Edition: Third editionDescription: xiii, 181 pages : illustrationsISBN:
  • 9781506389318
Subject(s): DDC classification:
  • 302.3 KNO.S
Summary: "David Knoke and Song Yang's Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data"--
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Sociology Processing Center Dept. of Sociology 302.3 KNO.S (Browse shelf(Opens below)) Available SOC9392

Includes bibliographical references and index.

"David Knoke and Song Yang's Social Network Analysis, Third Edition provides a concise introduction to the concepts and tools of social network analysis. The authors convey key material while at the same time minimizing technical complexities. The examples are simple: sets of 5 or 6 entities such as individuals, positions in a hierarchy, political offices, and nation-states, and the relations between them include friendship, communication, supervision, donations, and trade. The new edition reflects developments and changes in practice over the past decade. The authors also describe important recent developments in network analysis, especially in the fifth chapter. Exponential random graph models (ERGMs) are a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs. Finally, throughout the volume, the authors comment on the challenges and opportunities offered by internet and social media data"--

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