進行中 校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

網路科學與社會計算

Network Science & Social Computing

學期
114-1
學分
3 學分
當期課號
537607
永久課號
MGIM30032
開課單位
資訊管理研究所
授課教師
李永銘
校區
光復
類別
選修
上課時間表
週四
2
09:00–09:50
網路科學與社會計算
MB312
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

概述

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.

先修科目

N/A

評分方式

Homework (10%) Participation(10%) Presentation (30%) Midterm (30%) Term Project (20%)

課程大綱
  • Trends and Concepts of Network Science
  • Methodology and Application of Social Computing
週次計畫
週次主題
第 1 週The Trends in Web 2.0: Implications of blog, Flicks, YouTube, Wikis, mashups, widgets, TikTok
第 2 週The Trends in Social Networks: Implications of LinkedIn, Facebook, Twitter (x)
第 3 週Concepts of Network Science (1): The Random Universe & Six-Degree of Separation
第 4 週Concepts of Network Science (2): The Small Words & Scale-Free Networks
第 5 週Concepts of Network Science (3): The 80/20 Rule & The Long Tail Effect
第 6 週Concepts of Network Science (4): Hub and Connectors
第 7 週Concepts of Network Science (5): Influence Network and Diffusion Dynamics
第 8 週Social Network Analysis & Computing (1): Network and Relations
第 9 週Social Network Analysis & Computing (2): Sociometric Analysis and Graph Theory
第 10 週Social Network Analysis & Computing (3): Points, Line, and Density
第 11 週Techniques of Social Computing (4): Centrality Measures and Metrics
第 12 週Social Network Analysis & Computing(4): Centrality and Centralization
第 13 週Social Network Analysis & Computing (6): Position, Role, and Cluster
第 14 週Emerging Applications (1): Social Digital Media
第 15 週Emerging Applications (2): Social E-Commerce
第 16 週Emerging Applications (3): Social Knowledge Management
教科書

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