Analyzing Social Networks (Paperback)

Stephen P Borgatti, Martin G. Everett, Jeffrey C. Johnson

Analyzing Social Networks (Paperback)

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商品描述

Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process―including basic maths principles―without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way.

In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on:

  • Digital data and social networks like Twitter
  • Statistical models to use in SNA, like QAP and ERGM
  • The structure and centrality of networks
  • Methods for cohesive subgroups/community detection

Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis. 

商品描述(中文翻譯)

本書旨在引導初學者了解社交網絡數據的核心方面，包括收集、可視化、分析和解釋。這本書將使您了解進行社交網絡分析所需的理論和技能。作者使用簡單的語言和方程式，對研究過程的每一步提供專業而清晰的見解，包括基本的數學原理，而不假設您已經了解。本書特別關注NetDraw和UCINET，並以易於理解的方式逐步介紹相關軟件工具。

除了網絡分析和研究過程的基礎知識外，本書的第二版還重點介紹了以下內容：
- 數字數據和社交網絡，如Twitter
- 在社交網絡分析中使用的統計模型，如QAP和ERGM
- 網絡的結構和中心性
- 用於發現凝聚子群體/社區的方法

本書配有新的章節練習題、詞彙表和全面更新的配套網站，是學生友好型的社交網絡分析入門教材。

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