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 地理環境資源學研究所 |
授課教師 |
溫在弘 |
課號 |
Geog5076 |
課程識別碼 |
228 U2880 |
班次 |
|
學分 |
3 |
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 |
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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 |
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Office Hours |
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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
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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% |
|
|
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 * |