When Is a Network Epidemic Hard to Eliminate?

We consider the propagation of a contagion process (“epidemic”) on a network and study the problem of dynamically allocating a fixed curing budget to the nodes of the graph, at each time instant. For bounded degree graphs, we provide a lower bound on the expected time to extinction under any such dy...

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Bibliographic Details
Main Authors: Drakopoulos, Kimon, Koksal, Asuman E., Tsitsiklis, John N
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute for Operations Research and the Management Sciences (INFORMS) 2017
Online Access:http://hdl.handle.net/1721.1/111028
https://orcid.org/0000-0001-8288-5874
https://orcid.org/0000-0002-1827-1285
https://orcid.org/0000-0003-2658-8239