Social network analysis / David Knoke, University of Minnesota, Song Yang, University of Arkansas
(Quantitative applications in the social sciences ; 154)
| データ種別 | 電子書籍 |
|---|---|
| 版 | Third edition. |
| 出版者 | Thousand Oaks, California : SAGE |
| 出版年 | [2020] |
書誌詳細を非表示
| 書誌ID | OB01029308 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | Includes bibliographical references and index License restrictions may limit access 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a prime example: when the second edition was published, P* models were the recommended approach for this, but they have been replaced by ERGMs.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"-- Provided by publisher |
| 著者標目 | *Knoke, David Yang, Song 1971- |
| 件 名 | LCSH:Social networks |
| 分 類 | LCC:HM741 DC23:302.3 |
| 巻冊次 | ISBN:9781506389318 RefWorks出力（各巻） XISBN:9781506389295 RefWorks出力（各巻） XISBN:9781506389301 RefWorks出力（各巻） XISBN:9781506389325 RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
| 所蔵情報へのリンク | Social network analysis / David Knoke, Song Yang |
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※2020年8月16日以降