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[Colloquium] Discovering Roles and Types through Hierarchical Information Network Analysis

March 7, 2013

Watch Colloquium: 

M4V file (710 MB)

  • Date: Thursday, March 7, 2013 
  • Time: 11:00 am — 11:50 am 
  • Place: Mechanical Engineering 218

Tim Weninger
PhD Candidate
University of Illinois Urbana-Champaign 

Graphs are all around us. They can be made to model countless real-world phenomena ranging from the social to the scientific including engineering, biology, chemistry, medical systems, and e-commerce systems. We call these graphs information networks because they represent bits of information and their relationships. This talk focuses on discovering roles and types in very large scale information networks by exploring hierarchies inherent within the networks. We focus on the Web-information network, as well as specialized sub-networks like Wikipedia, where we aim to determine the type of a Web page or Wiki page as well as its position in the type-hierarchy (e.g., professor, student, and course exists within a department within a college) and their relationships to each other. This new information can then used to answer expressive queries on the network and allows us to explore additional properties about the network that were previously unknown.

 

Bio: Tim Weninger is graduating from the Department of Computer Science at the University of Illinois Urbana-Champaign where he is a member of the DAIS group and the Data Mining Lab. His research interests are in large scale information network analysis, especially on the Web, as well as “big data”-bases, “big data”-mining, information retrieval and social media. Tim is a recipient of the National Defense Science and Engineering Graduate Fellowship (NDSEG) and the National Science Foundation Graduate Research Fellowship (NSF GRFP). He has been an invited speaker at many international venues and has served as a reviewer, external reviewer or PC member for dozens of international journals, conferences and workshops.