[Nrg-l] FW: Talk: Thursday April 13, Prof. S. Eubank
crovella at cs.bu.edu
Tue Apr 11 18:10:00 EDT 2006
There are clearly some networking implications here, both for worm
propagation and for broadcast in DTNs/MANETs.
If someone goes please offer a summary at the next NRG.
From: seminars-bounces at lists.csail.mit.edu
[mailto:seminars-bounces at lists.csail.mit.edu] On Behalf Of Vincent
Sent: Tuesday, April 11, 2006 3:51 PM
To: vdb at mit.edu
Subject: Talk: Thursday April 13, Prof. S. Eubank
Thursday, April 13, Room 35-225, 2:30-3:30pm Stephen Eubank, Virginia
Bioinformatics Institute, Virginia Tech Network Dynamics and Simulation
In the past decade, mathematical epidemiologists have devoted attention
to models of disease spread across networks, where the assumption of
uniform mixing does not hold. I will briefly explore current issues in
public health emergency preparedness that are better addressed by
network models than by traditional differential equation models.
Although the advantages of models that include social networks are
clear, the task of estimating the requisite network is daunting. I will
describe a methodology for creating what I believe are the best
available estimates of human contact patterns for large populations.
Finally, I will consider in depth the dynamics of a simple disease
process on these large, irregular networks and compare the exact
dynamics on toy networks with the approximate dynamics represented by
differential equation models. These comparisons and implications for
public health planning raise questions - dating back at least a century
and spanning many disciplines - about how structural properties of
networks are related to dynamics. I will propose, not solutions, but
what I hope will be a useful new way of framing the questions.
The seminar will be preceded by an introductory student presentation.
Those not taking the class are also welcome to attend.
Thursday, April 13, Room 35-225, 2:00-2:30pm Jennifer Roberts, MIT A
Brief Introduction to Social Network Analysis
Stephen will be describing a methodology for estimating patterns of
human contact within large populations. As background, I will give an
overview of social network analysis, a technique which seeks to describe
the relationships and interactions between individuals and groups of
people. I will describe two types of social network analysis and give
examples of each. I will also explore how researchers typically
estimate these types of networks. Hopefully, this background will
provide perspective on Stephen's approach to estimating large social
Networks and Dynamics seminars: http://mit.edu/vdb/www/6.977/
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