Creating and analyzing co-participation networks

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CIS Colloquium, Mar 21, 2012, 11:00AM – 12:00PM, Wachman 447

Creating and analyzing co-participation networks

Huzefa Rangwala, George Mason University

The past decade has seen a massive rise in web services and social networks that allow users to create, collaborate, and share varied forms of data in the form of articles, pictures, videos, links and status messages. In this talk I will discuss a model to establish a co-participation network using comment information on I will follow this with a description of a system that improves the network latency, associated with popular content. I will also describe our work related to analyzing co-authorship networks, like DBLP to detect communities, determine influential neighbors and predict node labels within the collective classification framework.

Bio: Huzefa Rangwala is an Assistant Professor at the department of Computer Science & Engineering, George Mason University. He holds affiliate positions with the Department of Bioengineering and the Department of Bioinformatics & Computational Biology. He received his Ph.D. in Computer Science from the University of Minnesota in the year 2008. His research interests include data mining and bioinformatics.