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      Social Network Analysis

      2 in stock

      Firm sale: non returnable item
      SKU 9781506389318 Categories ,
      Select Guide Rating
      Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.
      David Knoke and Song Yang''s Social Network Analysis, Third Edition provides a concise int...

      £33.99

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      Description

      Product ID:9781506389318
      Product Form:Paperback / softback
      Country of Manufacture:US
      Series:Quantitative Applications in the Social Sciences
      Title:Social Network Analysis
      Authors:Author: David Knoke, Song Yang
      Page Count:200
      Subjects:Research methods: general, Research methods: general, Social research and statistics, Medical research, Social research & statistics, Medical research
      Description:Select Guide Rating
      Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.
      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a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs.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.
      Imprint Name:SAGE Publications Inc
      Publisher Name:SAGE Publications Inc
      Country of Publication:GB
      Publishing Date:2020-01-20

      Additional information

      Weight240 g
      Dimensions144 × 217 × 15 mm