University of Minnesota
University Relations
http://www.umn.edu/urelate
612-624-6868

Minnesota Supercomputing Institute


Log out of MyMSI

Research Abstracts Online
January 2008 - March 2009

University of Minnesota Twin Cities
Institute of Technology
Department of Computer Science and Engineering

PI: Jaideep Srivastava
Co-PI: Arindam Banerjee

Data Mining for Social Network Analysis

A social network is defined as a social structure of individuals who are related based on a common relation of interest. Social network analysis is the study of social networks to understand their structure and behavior. Social network analysis has gained prominence due to its use in different applications, from product marketing to search engines and organization dynamics. Recently, there has been a rapid increase in interest regarding social network analysis in the data-mining community. The basic motivation is the demand to exploit knowledge from copious amounts of data collected pertaining to the social behavior of users in online environments. A prime example of this is the research effort dedicated towards the Enron email dataset. Data-mining-based techniques are proving to be useful for analysis of social network data, especially for large datasets that cannot be handled by traditional methods.

Group Members

Amrudin Agovic, Graduate Student
Muhammad A. Ahmad, Graduate Student
Colin DeLong, Graduate Student
Gaurav Dubey, Graduate Student
Qiang Fu, Graduate Student
David Kuo-Wei Hsu, Graduate Student
Young Ae Kim, Visiting Researcher
Nishith Pathak, Graduate Student
Tieyun Qian, Visiting Researcher
Ridhima Rajkumar, Graduate Student
Hanhuai Shan, Graduate Student
Ming Shang, Visiting Researcher
Nisheeth Srivastava, Graduate Student
Aishwarya M. Sundar, Graduate Student
Jun Lin Zhou, Visiting Researcher