Topics in Social Computing

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Extra Credit Assignments

2011-12 Term 1

Lecture I Lecture II Tutorial I Tutorial II

The Golden Rule of XXXX: No member of the XXXX community shall take unfair advantage of any other member of the XXXX community.

Course Description

This course introduces fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviours on the Internet. The emphasis of the course is on data mining and knowledge discovery of social interactions, signals and data that are the byproduct of social media services such as search engines, social network sites, blogs, micro-blogs, wikis, etc. The course topics include, but are not limited to: web data mining, knowledge discovery on the web, web analytics, web information retrieval, ranking algorithms, recommender systems, human computation, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to social computing, etc.

Learning Objectives

Learning Outcomes

Learning Activities

  1. Lectures
  2. Tutorials
  3. Web resources
  4. Videos
  5. Quizzes
  6. Examinations


Lecturer Tutor Tutor
Name Irwin King
Email irwinking AT
Office TBA
Telephone TBA
Office Hour(s) TBA


The pdf files are created in Acrobat 6.0. Please obtain the correct version of the Acrobat Reader from Adobe.

Week Date Topics Tutorials Homework & Events Resources
1 7/9 Introduction to Web Intelligence and Social Computing
Web 2.0

Tutorial on Python Tim O'Reilly on Web 2.0, The Economist, 20/3/2009
2 14/9 Introduction to Web Intelligence and Social Computing Regular Expressions Web Crawler Introduction to Social Networks
3 21/9 Social Networks-Theory
Graph Theory

02-SNA-02.pdf NEW!
Graph Visualization SWT Theory
4 28/9 Graph Mining

Graph Mining Algorithms
Generating Random Graphs
The Clique Algorithm
5 5/10 Link Analysis

04-LinkAnalysis-01.pdf NEW!
PageRank, HITS, etc. Introduction to Information Retrieval
6 12/10 Learning to Rank

05-Learning2Rank-02.pdf NEW!
PageRank Project Specification
Movie Dataset
7 19/10 Recommender Systems I

Evaluation Methods
8 26/10 Recommender Systems II
Query Expansion

CIKM2008 Query Suggestion
9 2/11 Human Computation/Social Games

07-HumanComputation-01.pdf NEW!
humancomputation.ppt Guest Speaker
10 9/11 Crowdsourcing language model
11 16/11 Q&A
Virtual Communities

Wikis, Blogs, etc.
12 23/11 Privacy and Security of Information
Education, Policy

13 30/11 TBA
14 7/12 TBA
15 14/12 Wrap Up

Project Presentations
EduTech on Social Computing in Education
  • Web 2.0
    • Ajax, CSS,
  • Social Media
    • blogs, microblogs, wikis, mashup,

Class Project

Class Project Presentation Schedule

Class Project Presentation Requirements

Examination Matters

Examination Schedule

Time Venue Notes
Midterm Examination TBA TBA TBA
Final Examination TBA TBA TBA

Written Midterm Matters

  1. The midterm will test your knowledge of the materials.
  2. Answer all questions using the answer booklet. There will be more available at the venue if needed.
  3. Write legibly. Anything we cannot decipher will be considered incorrect.

Grade Assessment Scheme

Project Report Project Presentation Final Examination
20% 20% 10% 50%
  1. Assignments (20%)
    1. Written assignment
    2. Optional quizzes
  2. Project (30%)
    1. Report (20%)
    2. Presentation (10%)
  3. Final Examination (50%)
  4. Extra Credit (There is no penalty for not doing the extra credit problems. Extra credit will only help you in borderline cases.)

Required Background

  1. Pre-requisites
    1. - CSC 1110 or 1130 or its equivalent. (Not for students who have taken CSC 2520).

Reference Books

Book Sources

  1. Academic & Professional Book Centre, 1H Cheong Ming Bldg., 80-86 Argyle St., Kowloon, 2398-2191, 2391-7430 (fax)
  2. Caves Books (H. K.), 4B Ferry St., G/F., Yaumatei, Kowloon, 2780-0987, 2771-2298
  3. Man Yuen Book Company, 45 Parkes street, Jordan Road, Kowloon, Hong Kong, 2366-0594. Not very large, Asian edition books, fair price, wide range, some 10% discount.
  4. Swindon Book Co. Ltd, 13-15 Lock Road, Tsim Sha Tsiu, Kowloon, 2366-8001. One of the largest book stores in Hong Kong, exchange rate is not favorable.
  5. Hongkong Book Centre, 522-7064. A branch of the Swindon book shop.


  1. Q: What is departmental guideline for plagiarism?
    A: If a student is found plagiarizing, his/her case will be reported to the Department Discipline Committee. If the case is proven after deliberation, the student will automatically fail the course in which he/she committed plagiarism. The definition of plagiarism includes copying of the whole or parts of written assignments, programming exercises, reports, quiz papers, mid-term examinations. The penalty will apply to both the one who copies the work and the one whose work is being copied, unless the latter can prove his/her work has been copied unwittingly. Furthermore, inclusion of others' works or results without citation in assignments and reports is also regarded as plagiarism with similar penalty to the offender. A student caught plagiarizing during tests or examinations will be reported to the Faculty Office and appropriate disciplinary authorities for further action, in addition to failing the course.
  2. Q: What is ACM ICPC?
    A: Association of Computer Machinery International Collegiate Programming Contest. Teams from CUHK have done quite well in the previous years. More information on the CSE's programming team can be found at
  3. Q: What are some of the common mistakes made in online and real-time contest?
    A: There are a few common mistakes. Please check out this site for more information.


Social Networks-Theory Graph Theory

Graph Mining

Link Analysis

Learning to Rank

Recommender Systems

Q & A

Human Computation/Social Games

Opinion Mining/Sentiment Analysis



teaching/socialcomputing.txt · Last modified: 2011/03/05 00:18 by admin     Back to top