Description
A user-friendly introductory guide to the empirical study of social networks. Jennifer M. Larson presents the fundamentals of social networks in an intuition-forward way which guides theory-driven research design. Substantial attention is devoted to a framework for developing a network theory that will steer data collection to be maximally informative and minimally frustrating. Other features include: Coverage of a range of practical topics including selecting operationalizations, cutting survey costs, and cleaning data; A tutorial for getting started in analyzing networks in R; Technical sections full of examples, points to hone intuition, and practice problems with solutions. Designing Empirical Social Networks Research will be a valuable tool for advanced undergraduates, Ph.D. students in the social sciences, especially political science, and researchers across the social sciences who are new to the study of networks.
Table of Contents
1. Introduction to social networks research; 2. Describing and interpreting social network features; 3. Accounting for substantive network features; 4. Crafting a network theory; 5. Moving from theory to Empirics; 6. Acquiring network data; 7. Preparing network data; 8. Working with network data in R; 9. Conclusion: where to turn next; Selected answers; Glossary; Bibliography; Index.
-
- 洋書電子書籍
- ハイエントロピー合金:設計、製造、最新…
-
- 洋書電子書籍
- 労働組合と英国の労使関係の危機:H.A…
-
- 洋書電子書籍
-
Rの実例で学ぶ回帰分析(第6版)
-
- 洋書電子書籍
- 縦断的構造方程式モデリング(第2版)<…
-
- 洋書電子書籍
-
今日の女性の欲望の精神分析
Ps…



