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Course Overview
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.
Course Outlines
- The
Trends in Web 2.0: Implications of blog, Flicks, YouTube, Wikis,
mashups, widgets
- The
Trends in Social Networks: Implications of MSN, Myspace, LinkedIn,
Facebook, Twitter
- Theory
of Network Science (1): The Random Universe & Six-Degree of
Separation
- Theory
of Network Science (2): The Small Words & Scale-Free Networks
- Theory
of Network Science (3): The 80/20 Rule & The Long Tail Effect
- Theory
of Network Science (4): Hub & Connectors
- Theory
of Network Science (5): Information Cascades & Network Effects
- Techniques
of Social Computing (1): Graph Theory & Sociometric Analysis
- Techniques
of Social Computing (2): Social Ties & Relations
- Techniques
of Social Computing (3): Web Structure, Link Analysis & Web Search
- Techniques
of Social Computing (4): Centrality Measures and Metrics
- Techniques
of Social Computing (5): Homophily & Affiliation
- Techniques
of Social Computing (6): Cascading Behavior & Epidemics on
Networks
- Emerging
Social Network Applications (1): Social Digital Media
- Emerging
Social Network Applications (2): Social Mobile Services
- Emerging
Social Network Applications (3): Social Knowledge Management
- Emerging
Social Network Applications (4): Social Business Intelligence
- Emerging
Social Network Applications (5): Social Electronic Commerce
Reference
Book(s)
- David
Easley, 2010, Networks, Crowds, and Markets: Reasoning About a Highly
Connected World, Cambridge
University Press
- Mark Newman, 2010, Networks, Oxford University Press
- Ted
G Lewis, 2009, Network Science: Theory and Applications, Wiley.
- Albert-Laszlo
Barabasi, 2003, Linked: How Everything Is Connected to Everything Else
and What It Mean, Plume.
- John P Scott, 2000, Social
Network Analysis: A Handbook, Sage Publications Ltd; 2nd edition
Term Project
At the end
of the class, students (individually or by a group) are required to turn in
a term project. The following are some suggestions for
the term project:
- Select
a innovative, interesting, and useful idea (application)
- Emphasize
the importance (influence) of chosen idea (application) (technology,
business, or social opportunities)
- Utilize
the discussed methodologies to develop a new social computing
application or plan a business strategy, or propose a research
blueprint
Grading
- Homework (20%)
- Participation (20%)
- Presentation (20%)
- Midterm (20%)
- Term Project (20%)
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