[gov3009-l] Onnela on "Community structure in time-dependent, multiscale, and multiplex networks"
mblackwell at iq.harvard.edu
Tue Oct 12 10:05:17 EDT 2010
We hope that you can join us at the Applied Statistics Workshop this
Wednesday, October 13th when we're excited to have Jukka-Pekka Onnela
presenting on community structures in networks. JP is a Postdoctoral
Research Fellow at the Harvard Medical School, where he works on
theoretical and applied problems with large-scale social and health
networks. This talk will be based on work recently published in
Science. You will find an abstract and a link to the paper below. A
light lunch (Thai) will be provided.
"Community structure in time-dependent, multiscale, and multiplex networks"
Harvard Medical School
Wednesday, October 13th, 12 noon
CGIS K354 (1737 Cambridge St)
During the last decade, the science of networks has grown into an
enormous interdisciplinary endeavor, with methods and applications
drawn from across the natural, social, and information sciences. One
of the most important and prominent ideas from network science is the
algorithmic detection of tightly-connected groups of nodes known as
communities. Here we develop a formulation to detect communities in a
very broad setting by studying general dynamical processes on
networks. We create a new framework of network quality functions that
allows us to study the community structure of arbitrary multislice
networks, which are combinations of individual networks coupled
through additional links that connect each node in one network slice
to itself in other slices. This new framework allows one for the first
time to study community structure in a very general setting that
encompasses networks that evolve in time, have multiple types of ties
(multiplexity), and have multiple scales.
Institute for Quantitative Social Science
Department of Government
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