Temporal Network Dynamics
Dr. Haley Yaple
Mathematics Department, Carthage College
Networks that represent connections between people (or places, or things) are often
assumed to be static; that is, the links between people are specified at the outset and
do not change. However, this is not realistic for many situations. Imagine keeping
track of the people you pass as you walk through a crowded hallway: your connections
would change over time. This may be especially important to consider when modeling
diseases that spread only via close contact, such as Ebola, MRSA, or STDs. We study
how simple epidemic spread changes when a network is temporally-varying, using the SI
compartmental model. We explore simple mean-field models and weigh improvements
in realism against the cost of adding complexity to a model.
Saint Pierre and Miquelon
Belize
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Turks and Caicos Islands
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Puerto Rico
Montenegro
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Cuba
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Micronesia Federated States of
Iceland
Dominica
New Zealand
Dominican Republic
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Macedonia Former Yugoslav Republic of
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Venezuela
Suriname
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Canada
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USA
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Thursday, November 19th
Time: 3:30-4:30pm
All Welcome to Attend
Cowley Hall 156