網路科學與社會計算
Network Science & Social Computing
| 節 | 週四 |
|---|---|
2 09:00–09:50 | 網路科學與社會計算 MB312（光復） 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
The technologies and applications of Web 2.0 and social networks are increasingly promising and have become a new paradigm of computing platform, operation model, and decision mechanism for digital service industries. The course introduces the trends, concepts, methodologies, and the emerging applications of network science and social computing. By the end of semester, the graduate students should be able to apply the discussed methods to indentify, evaluate, and realize social network applications.
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Homework (10%) Participation(10%) Presentation (30%) Midterm (30%) Term Project (20%)
Trends and Concepts of Network Science
1.Trends in Web2.0 & Social Networks 2. Concepts of Network Science
- 講授：
- 24
Methodology and Application of Social Computing
1.Methods of Social Computing 2. Applications of Social Computing
- 講授：
- 24
| 週次 | 主題 |
|---|---|
| 第 1 週 | The Trends in Web 2.0: Implications of blog, Flicks, YouTube, Wikis, mashups, widgets, TikTok 2026-09-10(四) 時數：[2026-09-10]李永銘(3.00) |
| 第 2 週 | The Trends in Social Networks: Implications of LinkedIn, Facebook, Twitter (x) 2026-09-17(四) 時數：[2026-09-17]李永銘(3.00) |
| 第 3 週 | Concepts of Network Science (1): The Random Universe & Six-Degree of Separation 2026-09-24(四) 時數：[2026-09-24]李永銘(3.00) |
| 第 4 週 | Concepts of Network Science (2): The Small Words & Scale-Free Networks 2026-10-01(四) 時數：[2026-10-01]李永銘(3.00) |
| 第 5 週 | Concepts of Network Science (3): The 80/20 Rule & The Long Tail Effect 2026-10-08(四) 時數：[2026-10-08]李永銘(3.00) |
| 第 6 週 | Concepts of Network Science (4): Hub and Connectors 2026-10-15(四) 時數：[2026-10-15]李永銘(3.00) |
| 第 7 週 | Concepts of Network Science (5): Influence Network and Diffusion Dynamics 2026-10-22(四) 時數：[2026-10-22]李永銘(3.00) |
| 第 8 週 | Social Network Analysis & Computing (1): Network and Relations 2026-10-29(四) 時數：[2026-10-29]李永銘(3.00) |
| 第 9 週 | Social Network Analysis & Computing (2): Sociometric Analysis and Graph Theory 2026-11-05(四) 時數：[2026-11-05]李永銘(3.00) |
| 第 10 週 | Social Network Analysis & Computing (3): Points, Line, and Density 2026-11-12(四) 時數：[2026-11-12]李永銘(3.00) |
| 第 11 週 | Techniques of Social Computing (4): Centrality Measures and Metrics 2026-11-19(四) 時數：[2026-11-19]李永銘(3.00) |
| 第 12 週 | Social Network Analysis & Computing(4): Centrality and Centralization 2026-11-26(四) 時數：[2026-11-26]李永銘(3.00) |
| 第 13 週 | Social Network Analysis & Computing (6): Position, Role, and Cluster 2026-12-03(四) 時數：[2026-12-03]李永銘(3.00) |
| 第 14 週 | Emerging Applications (1): Social Digital Media 2026-12-10(四) 時數：[2026-12-10]李永銘(3.00) |
| 第 15 週 | Emerging Applications (2): Social E-Commerce 2026-12-17(四) 時數：[2026-12-17]李永銘(3.00) |
| 第 16 週 | Emerging Applications (3): Social Knowledge Management 2026-12-24(四) 時數：[2026-12-24]李永銘(3.00) |
1. David Easley, 2010, Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press 2, Mark Newman, 2010, Networks, Oxford University Press 3. Ted G Lewis, 2009, Network Science: Theory and Applications, Wiley. 4. Albert-Laszlo Barabasi, 2003, Linked: How Everything Is Connected to Everything Else and What It Mean, Plume. 5. John P Scott, 2000, Social Network Analysis: A Handbook, Sage Publications Ltd; 2nd edition
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