From: Kelli McGee \(Kelly Services Inc\) (a-kellim@microsoft.com)
Date: Tue Feb 10 2004 - 14:00:20 PST
You are invited to attend...
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WHO: Mark Newman
AFFILIATION: University of Michigan
TITLE: Mixing patterns in networks
WHEN: Fri 2/13/2004
WHERE: 113/1021 Research Lecture Room, Microsoft Research
TIME: 1:30PM-3:00PM
HOST: Jennifer Chayes and Raissa D'Souza
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ABSTRACT:
Networks as diverse as the Internet, the world wide web, and social
networks show "assortative mixing," the tendency for network nodes to be
connected to others that are like (or unlike) them in some way. For
instance, people in social networks tend preferentially to associate
with others that are similar to them in age, nationality, race, income,
educational level, and many other things. I will discuss how
assortative mixing can be measured and describe some models of
assortatively mixed networks. In the particular case of mixing by
degree, we find that mixing patterns can have a substantial effect on
how networks behave, particularly with respect to their connectivity and
their resilience to the removal of nodes.
BIO:
Mark Newman received a Ph.D. in physics from the University of Oxford in
1991, and was for some years a member of the resident faculty of the
Santa Fe Institute in New Mexico before moving to the University of
Michigan in 2002. His research is on the mathematical theory of
networks, with a particular focus on social networks, computer networks,
and the epidemiology of both human diseases and computer viruses.
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