The effect of awareness on networked SIS epidemics
dc.contributor.author | Paarporn, Keith | |
dc.contributor.author | Eksin, Ceyhun | |
dc.contributor.author | Weitz, Joshua S. | |
dc.contributor.author | Shamma, Jeff S. | |
dc.date.accessioned | 2017-02-15T08:32:16Z | |
dc.date.available | 2017-02-15T08:32:16Z | |
dc.date.issued | 2017-01-05 | |
dc.identifier.citation | Paarporn K, Eksin C, Weitz JS, Shamma JS (2016) The effect of awareness on networked SIS epidemics. 2016 IEEE 55th Conference on Decision and Control (CDC). Available: http://dx.doi.org/10.1109/CDC.2016.7798394. | |
dc.identifier.doi | 10.1109/CDC.2016.7798394 | |
dc.identifier.uri | http://hdl.handle.net/10754/622909 | |
dc.description.abstract | We study an SIS epidemic model over an arbitrary fixed network topology where the n agents, or nodes of the network, have partial information about the epidemic state. The agents react by distancing themselves from their neighbors when they believe the epidemic is currently prevalent. An agent's awareness is weighted from three sources of information: the fraction of infected neighbors in their contact network, their social network, and a global broadcast of the fraction of infected nodes in the entire network. The dynamics of the benchmark (no awareness) and awareness models are described by discrete-time 2-state Markov chains. Through a coupling technique, we establish monotonicity properties between the benchmark and awareness models. Particularly, we show that the expectation of any increasing random variable on the space of sample paths, e.g. eradication time or total infections, is lower for the awareness model. In addition, we give a characterization for this difference of expectations in terms of the coupling distribution. In simulations, we evaluate how different sources of information affect the spread of an epidemic. | |
dc.description.sponsorship | This work is supported by ARO grant #W911NF-14-1-0402 (to J.S.W), and supported in part by KAUST. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.url | http://ieeexplore.ieee.org/document/7798394/ | |
dc.title | The effect of awareness on networked SIS epidemics | |
dc.type | Conference Paper | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Electrical Engineering Program | |
dc.identifier.journal | 2016 IEEE 55th Conference on Decision and Control (CDC) | |
dc.conference.date | 2016-12-12 to 2016-12-14 | |
dc.conference.name | 55th IEEE Conference on Decision and Control, CDC 2016 | |
dc.conference.location | Las Vegas, NV, USA | |
dc.contributor.institution | School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, United States | |
dc.contributor.institution | School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States | |
dc.contributor.institution | School of Physics, Georgia Institute of Technology, Atlanta, GA, United States | |
kaust.person | Shamma, Jeff S. | |
dc.date.published-online | 2017-01-05 | |
dc.date.published-print | 2016-12 |
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Conference Papers
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Electrical Engineering Program
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Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
For more information visit: https://cemse.kaust.edu.sa/