[Colloquium] Talk by Mark Newman, University of Michigan, on Friday November 9, 2007
Margery Ishmael
marge at cs.uchicago.edu
Fri Oct 26 10:34:16 CDT 2007
DEPARTMENT OF COMPUTER SCIENCE - TALK
CO-SPONSORED BY TTI-C & UNIVERSITY OF CHICAGO
Date: Friday, November 9, 2007
Time: 2:30 p.m.
Place: Ryerson 251, 1100 E. 58th St.
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Speaker: MARK NEWMAN
From: Department of Physics and Center for the Study of Complex Systems
University of Michigan
Web page: http://www-personal.umich.edu/~mejn/
Title: The large-scale structure of real-world networks
Abstract:
Many systems take the form of networks: the Internet, the World
Wide Web,
social networks, citation networks, metabolic networks, food
webs, and
neural networks are just a few examples. In this talk I will
show some
recent empirical data for these and other networks and discuss
how we can
discover and understand their large-scale structure and its
implications.
The problem is that many networks are too large to visualize in
their
entirety, so to understand what they "look like" we need
algorithmic or
statistical techniques to pick useful patterns out of large
network data
sets. I will describe recent work on several methods that
attempt to
detect structural features such as clustering and hierarchy using
spectral and other techniques. I will give a variety of
illustrative
applications throughout the talk.
If people want to look at the papers ahead of time, these two are
suitable:
Modularity and community structure in networks, M. E. J. Newman,
Proc. Natl. Acad. Sci. USA 103, 8577-8582 (2006).
http://arxiv.org/abs/physics/0602124
Mixture models and exploratory data analysis in networks, M. E.
J. Newman
and E. A. Leicht, Proc. Natl. Acad. Sci. USA 104, 9564-9569 (2007).
http://arxiv.org/abs/physics/0611158
***The talk will be followed by refreshments in Ryerson 255***
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Hosts: Stephen Smale & Partha Niyogi
People in need of assistance should call 773-834-8977 in advance.
For information on future CS talks: http://www.cs.uchicago.edu/events
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