社會網絡研究
Research on Social Network Analysis
| 節 | 週一 |
|---|---|
5 13:20–14:10 | 社會網絡研究 HK206（六家） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
This course is designed to introduce students to the area of social network analysis (SNA), including the theories and the techniques of conducting social network analysis. In particular, students will learn the theories and concepts (e.g., homophily, triadic closure, network evolution, dyadic and dependency nature of network data) key to the development of social network analysis. Parallel to the theory exposure, students will be equipped with the skills of conducting basic and advanced social network analyses through hands-on exercises. The course will culminate in the production of a research paper, which requires students to apply social network theories and analytical approaches to examine a research problem. This paper should match the expectations for a conference paper in the communication or related social science field.
A basic-level understanding of statistics is required.
無備註
Software used for lab sessions • UCINET: Download http://sites.google.com/site/ucinetsoftware/downloads https://uky.yuja.com/V/Video?v=6174927&node=27512617&a=192287560&autoplay=1 • Gephi: Download http://gephi.org/users/download/ • R: Download http://cran.r-project.org/bin/windows/base/ http://www.rstudio.com/products/rstudio/download/
Percent of grade Class participation 15% SNA exercises Exercise 1 10% Exercise 2 20% Exercise 3 10% Research project Proposal and presentation 5% Literature review 10% Method and findings 10% Final paper and presentation 20% --------------------------------------------------------------------------------------------- 100%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Overview and Introduction to Social Network Analysis 2026-02-23(一) |
| 第 2 週 | Key Concepts and Types of Social Networks 2026-03-02(一) |
| 第 3 週 | Social Network Research Design and Data Collection 2026-03-09(一) |
| 第 4 週 | Network Analysis Lab Session I (network data & visualization) - UCINET 2026-03-16(一) |
| 第 5 週 | Network Theorizing on Self-Interest and Collective Action 2026-03-23(一) |
| 第 6 週 | Network Theorizing on Contagion, Cognitive Social Structure, and Homophily 2026-03-30(一) |
| 第 7 週 | Theorizing and Analysis of Affiliation Networks 2026-04-06(一) |
| 第 8 週 | University Event-No Class 2026-04-13(一) |
| 第 9 週 | Theorizing and Analysis of Semantic Networks 2026-04-20(一) |
| 第 10 週 | Network Analysis Lab Session II (cohesion & social capital) - UCINET 2026-04-27(一) |
| 第 11 週 | Network Analysis Lab Session III (hypothesis testing) - UCINET 2026-05-04(一) |
| 第 12 週 | Network Analysis Lab Session IV (two-mode networks) - UCINET & Gephi 2026-05-11(一) |
| 第 13 週 | Network Analysis Lab Session V (semantic networks) - UCINET, Gephi, & R 2026-05-18(一) |
| 第 14 週 | Network Analysis Lab Session VI (ERGM) -PNet & R 2026-05-25(一) |
| 第 15 週 | Ego and Large network (Digitally-Enabled Networks) 2026-06-01(一) |
| 第 16 週 | Paper Writing 2026-06-08(一) |
| 第 17 週 | Final Paper Presentations 2026-06-15(一) |
| 第 18 週 | 2026-06-22(一) |
• Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2018). Analyzing social networks. SAGE Publications Limited. • Hanneman, R. A. & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California, Riverside. Full text available online at: http://faculty.ucr.edu/~hanneman/nettext/index.html • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications (Vol. 8). Cambridge university press.
- 地點
- HK 226
- 時間
- Friday 14:00-15:00 (or by appointment)
- 聯絡方式
- chlai@nycu.edu.tw