National Taiwan Normal University Course Outline
Fall , 2021

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Please respect the intellectual property rights, and shall not copy the textbooks arbitrarily.

I.Course information
Serial No. 0912 Course Level Undergraduate
Course Code LSU0045 Chinese Course Name 社會網路分析
Course Name Social Network Analysis
Department Undergraduate Program of Learning Sciences
Two/one semester 1 Req. / Sel. Sel.
Credits 3.0 Lecturing hours Lecture hours: 3
Prerequisite Course Prerequisite course: 【E0U0002 Educational Statistics (II)】、【LSU0042 Learning Assessment and Testing】one of above
Comment
Course Description
Time / Location Fri. 6-8 Main 34-02
Curriculum Goals Corresponding to the Departmental Core Goal
1. 瞭解社會網路分析的理論內涵 College:
 1-1 To possess the domain knowledge and professional skills in learning sciences
 1-2 To integrate and apply relevant theories in learning sciences
 1-3 To realize the current status and development trends in learning sciences
2. 瞭解如何蒐集符合社會網路分析的資料 College:
 2-1 To equip with the ability to analyze and transform learning and information technologies to various contexts
 2-2 To possess the ability to earnestly retrieve and act to be attentive to social issues and information
3. 瞭解如何應用相關軟體進行資料分析與解讀 College:
 3-1 To have the spirit of being critically reflective and prospectively innovative
 3-2 To have the passion of being independent and altruistic
 3-3 To possess the ability to express appropriately and communicate critically

II. General Syllabus
Instructor(s) 林宗進
Schedule

【授課方式:16+2週】

【彈性教學2週】:社會網路分析研究專題

本課程將涵蓋以下主題(The inclusion of relevant topics of this course is listed below):

  • Introduction and Overview of Social Network Analysis
  • The History of Social Network Analysis
  • Terminology for Network Analysis
  • Data Collection for Social Network Analysis
  • Popularity, Mediation and Exclusion
  • Groups, Factions and Social Divisions
  • Structural Locations, Classes and Positions
  • Social Change and Development
  • Organizing and Analyzing Network Data
  • Visualizing and Modelling

 

註:以上各主題進度及週數視學習情況調整。

Lecturing Methodologies
Methods Notes
Formal lecture 教師講述相關重要知識與概念
Group discussion 上課進行該週主題之討論
Cooperative learning 於課程期間透過分組,讓同組學生能相互合作與討論
Case studies 學生進行社會網路分析相關之研究主題
Grading assessment
Methods Percentage Notes
Assignments 15 % 不定時平時作業
Midterm Exam 25 % 期中報告
Class discussion involvement 20 % 課堂問題討論與每週出席狀況
Case study reports 40 % 期末專題
Required and Recommended Texts/Readings with References

Borgatti, S, & Martin E. (2013). Analyzing social networks. Los Angeles: Sage Publication.

Carrington, P., Scott, J, & Wasserman, S. (2004). Models and methods for social network analysis. New York: Cambridge University Press.

Scott, J. (2017). Social network analysis (4th ed.). London, UK: Sage

Wasserman, S., & Faust, K. (1994). Social network analysis: methods and applications. Cambridge, ENG and New York: Cambridge University Press.

教師自編教材及相關網路資源