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.
N/A
無備註
教師未提供此項資料
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 2023-09-14(四) |
| 第 2 週 | The Trends in Social Networks: Implications of MSN, Myspace, LinkedIn, Facebook, Twitter 2023-09-21(四) |
| 第 3 週 | Theory of Network Science (1): The Random Universe & Six-Degree of Separation 2023-09-28(四) |
| 第 4 週 | Theory of Network Science (2): The Small Words & Scale-Free Networks 2023-10-05(四) |
| 第 5 週 | Theory of Network Science (3): The 80/20 Rule & The Long Tail Effect 2023-10-12(四) |
| 第 6 週 | Theory of Network Science (4): Hub & Connectors 2023-10-19(四) |
| 第 7 週 | Theory of Network Science (5): Information Cascades & Network Effects 2023-10-26(四) |
| 第 8 週 | Techniques of Social Computing (1): Graph Theory & Sociometric Analysis 2023-11-02(四) |
| 第 9 週 | Techniques of Social Computing (2): Social Ties & Relations 2023-11-09(四) |
| 第 10 週 | Techniques of Social Computing (3): Web Structure, Link Analysis & Web Search 2023-11-16(四) |
| 第 11 週 | Techniques of Social Computing (4): Centrality Measures and Metrics 2023-11-23(四) |
| 第 12 週 | Techniques of Social Computing (5): Homophily & Affiliation 2023-11-30(四) |
| 第 13 週 | Techniques of Social Computing (6): Cascading Behavior & Epidemics on Networks 2023-12-07(四) |
| 第 14 週 | Emerging Social Network Applications (1): Social Digital Media 2023-12-14(四) |
| 第 15 週 | Emerging Social Network Applications (2): Social Mobile Services 2023-12-21(四) |
| 第 16 週 | Emerging Social Network Applications (3): Social Knowledge Management 2023-12-28(四) |
| 第 17 週 | Emerging Social Network Applications (4): Social Business Intelligence 2024-01-04(四) |
| 第 18 週 | Emerging Social Network Applications (5): Social Electronic Commerce 2024-01-11(四) |
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
- 地點
- 教師未提供此項資料
- 時間
- 教師未提供此項資料
- 聯絡方式
- 教師未提供此項資料
