課程資訊
課程名稱
網絡資料分析與模式
Network Data Analysis and Models 
開課學期
104-1 
授課對象
理學院  地理環境資源學系  
授課教師
溫在弘 
課號
Geog5076 
課程識別碼
228 U2880 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期四7,8,9(14:20~17:20) 
上課地點
地理二教室 
備註
本課程中文授課,使用英文教科書。
總人數上限:20人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1041_Geog5076_Net 
課程簡介影片
 
核心能力關聯
本課程尚未建立核心能力關連
課程大綱
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課程概述

This course explores quantitatively the concepts and applications of network data analysis and how these theories assist scientists in understand the complex patterns of connections and relationships that shape our lives. Students will acquire the ability to use the computer modeling and statistical methods to analyze link-node topology and dynamic behavior of complex network. They will also explore some emerging applications, including social interaction, disease diffusion and spatial structures of migration. 

課程目標
The objectives of the course are to guide students how to describe and characterize quantitatively various types of network topology and the use of appropriate analytical methods to explain the features of complex networks. 
課程要求
Course participation, weekly readings, and written assignments 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
Valente (2010). Social Networks and Health: Models, Methods and Applications. New York: Oxford University Press 
參考書目
1. Barabasi (2002). Linked: The New Science of Networks, Cambridge: Perseus
Publisher
2. Lewis (2009). Network Science: Theory and Practice, Hoboken, NJ: Wiley
3. Newman (2010). Networks: An Introduction. New York: Oxford University
Press
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Mid-term exam 
30% 
 
2. 
Final report 
30% 
 
3. 
Written assignments and discussion in class 
40% 
 
 
課程進度
週次
日期
單元主題
第1週
9/17  Introduction: Networks in Social and Geographical Spaces 
第2週
9/24  Networks as Social Relationships: An Introduction 
第3週
10/01  Network Data Collection and Visualization 
第4週
10/08  Ego-Networks and Structure Hole 
第5週
10/15  Network Measures: Centrality (Individual-level) 
第6週
10/22  Network Measures: Groups 
第7週
10/29  Network Measures: Positions 
第8週
11/05  Network Measures: Positions 
第9週
11/12  * Mid-term Exam * 
第10週
11/19  * Mid-term Proposal Presentation and Discussion * 
第11週
11/26  * NGIS Socioeconomic Databases (R305)* 
第12週
12/03  Network Measures: Network-level Indices 
第13週
12/10  Lab: analyzing contact patterns and R Shiny 
第14週
12/17  Network Autocorrelation 
第15週
12/24  Quadratic Assignment Procedure (QAP) Regression 
第16週
12/31  Exponential Random Graph Models (ERGMs) 
第17週
1/07  * Final Oral Presentation *