CSE 494/598, Fall 2008

Social Computing and Web Analytics

Course Description:

Social computing is concerned with the study of social behavior and social context based on computational systems. The emerging Web 2.0 technologies allow a passive reader (or an average Joe) to become an active producer (or a shining online star), which creates a phenomenal landscape change in terms of Web-based activities. With various social media (Digg, del.licio.us, MySpace, Facebook, etc.), people can share content, opinions, insights, experiences, perspectives, and media themselves, as well as producing many new media via techniques such as mashing up. Social networks emerge with the pervasive use of social media. Combining social computing and Web analytics, this course aims to introduce the state-of-the art developments in Web 2.0 techniques, social networks and analysis, network analysis and graph theory, information extraction, link analysis, and Web mining, to study emerging problems with social media, and to learn innovatively applying multidisciplinary approaches to problem solving. The ultimate goal is to sharpen problem solving skills of our senior and graduate students, and prepare them with this unique set of expertise for the increasing demands in IT industry and for in-depth advanced research


  • CSE 471 or equivalent
  • CSE 310 Data Structures and Algorithms

Line numbers:

  • CSE494 - 83454
  • CSE598 - 8110

Classroom and Hours:

Office Hours:

    MW 3:00 - 4:00pm, BYE 566
    Other times: by appointment only

  TA and Office Hours:

    Nitin Agarwal: Tuesdays and Thursdays, 2:00 - 3:00pm

    Sai Moturu: Fridays, 2:00 - 3:00pm

   Please send emails to the TAs for meetings


Text and Reference Books: 

Web Data Mining - Exploring Hyperlinks, Contents, and Usage Data, Bing Liu, Springer, 2007

Mining the Web - Discovering Knowledge from Hypertext Data, Soumen Chakrabarti, Morgan Kaufmann, 2003

Exploratory Social Network Analysis with Pajek, Wouter de Nooy, Andrej Mrvar, Vladimir Batagelj, Cambridge, 2005, Package and Manual

Social Network Analysis - Methods and Applications, Stanley Wasserman and Katherine Faust, Cambridge, 1994

Reading Assignments, Homework, Projects, and Mid-Term Exams (Details at myASU):

Slides and Schedule:

Useful Links

We will include below interesting links recommended by our students and others.


Created: 05/17/08
Last updated: 09/21/08

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If you have comments or suggestions, email me at huan.liu at asu.edu