Social network analysis / David Knoke, University of Minnesota, Song Yang, University of Arkansas.
Material type: TextSeries: Quantitative applications in the social sciences ; no.154. | Quantitative applications in the social sciences ; 154Publisher: Thousand Oaks, California : SAGE, [2020]Edition: Third editionDescription: xiii, 181 pages : illustrations ; 22 cmContent type:- text
- unmediated
- volume
- 9781506389318
- 302.3 23 KNO
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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Books | IIITDM Kurnool General Stacks | Non-fiction | 302.3 KNO (Browse shelf(Opens below)) | Available | 0002280 | |
Books | IIITDM Kurnool General Stacks | Non-fiction | 302.3 KNO (Browse shelf(Opens below)) | Available | 0002281 | |
Books | IIITDM Kurnool General Stacks | Non-fiction | 302.3 KNO (Browse shelf(Opens below)) | Available | 0002282 |
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301.421 ENG The origin of the family, private property, and the state | 302 GLA The tipping point : how little things can make a big difference | 302.231 MUK The internet trap : | 302.3 KNO Social network analysis / | 302.3 KNO Social network analysis / | 302.3 KNO Social network analysis / | 302.3 SCO Social network analysis |
1. Introduction to Social Network Analysis -- 2. Network Fundamentals 3. Data Collection 4. Basic Methods for Analyzing Networks 5. Advanced Methods for Analyzing Networks
"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a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs.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"--
Includes bibliographical references and index.
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