Social network analysis / David Knoke, University of Minnesota, Song Yang, University of Arkansas.
"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 entiti...
Saved in:
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Full Text (via SAGE) |
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| Main Author: | |
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Thousand Oaks, California :
SAGE,
[2020]
|
| Edition: | Third edition. |
| Series: | Quantitative applications in the social sciences ;
154. |
| Subjects: |
MARC
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| 245 | 1 | 0 | |a Social network analysis / |c David Knoke, University of Minnesota, Song Yang, University of Arkansas. |
| 250 | |a Third edition. | ||
| 264 | 1 | |a Thousand Oaks, California : |b SAGE, |c [2020] | |
| 300 | |a 1 online resource (xiii, 181 pages) : |b illustrations. | ||
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| 490 | 1 | |a Quantitative applications in the social sciences ; |v 154. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1 Introduction to Social Network Analysis -- Chapter 2 Network Fundamentals -- Chapter 3 Data Collection -- Chapter 4 Basic Methods for Analyzing Networks -- Chapter 5 Advanced Methods for Analyzing Networks. | |
| 520 | |a "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a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs.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"-- |c Provided by publisher. | ||
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