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Social Network Analysis (Paperback, 3rd Revised edition) Loot Price: R916
Discovery Miles 9 160
You Save: R160 (15%)
Social Network Analysis (Paperback, 3rd Revised edition): David Knoke, Song Yang

Social Network Analysis (Paperback, 3rd Revised edition)

David Knoke, Song Yang

Series: Quantitative Applications in the Social Sciences

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Was R1,076 Loot Price R916 Discovery Miles 9 160 | Repayment Terms: R86 pm x 12* You Save R160 (15%)

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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a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs.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.

General

Imprint: Sage Publications Ltd
Country of origin: United States
Series: Quantitative Applications in the Social Sciences
Release date: 2020
Authors: David Knoke • Song Yang
Dimensions: 215 x 139 x 15mm (L x W x T)
Format: Paperback
Pages: 200
Edition: 3rd Revised edition
ISBN-13: 978-1-5063-8931-8
Categories: Books > Reference & Interdisciplinary > Communication studies > Research methods
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Medicine > General issues > Medical equipment & techniques > Medical research
LSN: 1-5063-8931-7
Barcode: 9781506389318

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