Networked SIS Epidemics With Awareness
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 | 2018-01-01T12:19:03Z | |
dc.date.available | 2018-01-01T12:19:03Z | |
dc.date.issued | 2017-07-20 | |
dc.identifier.citation | Paarporn K, Eksin C, Weitz JS, Shamma JS (2017) Networked SIS Epidemics With Awareness. IEEE Transactions on Computational Social Systems 4: 93–103. Available: http://dx.doi.org/10.1109/tcss.2017.2719585. | |
dc.identifier.issn | 2329-924X | |
dc.identifier.doi | 10.1109/tcss.2017.2719585 | |
dc.identifier.uri | http://hdl.handle.net/10754/626611 | |
dc.description.abstract | We study a susceptible-infected-susceptible epidemic process over a static contact network where the nodes have partial information about the epidemic state. They react by limiting their interactions with their neighbors when they believe the epidemic is currently prevalent. A node's awareness is weighted by the fraction of infected neighbors in 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 Markov chains, from which mean-field approximations (MFAs) are derived. The states of the MFA are interpreted as the nodes' probabilities of being infected. We show a sufficient condition for the existence of a | |
dc.description.sponsorship | This work was supported in part by the Army Research Office under Grant W911NF-14-1-0402, and in part by the King Abdullah University of Science and Technology. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.url | http://ieeexplore.ieee.org/document/7987055/ | |
dc.subject | Benchmark testing | |
dc.subject | Couplings | |
dc.subject | Diseases | |
dc.subject | Epidemics | |
dc.subject | Markov processes | |
dc.subject | Markov processes | |
dc.subject | networks | |
dc.subject | Silicon | |
dc.subject | Social network services | |
dc.subject | stochastic processes | |
dc.title | Networked SIS Epidemics With Awareness | |
dc.type | Article | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.contributor.department | Electrical Engineering Program | |
dc.contributor.department | RISC Laboratory | |
dc.identifier.journal | IEEE Transactions on Computational Social Systems | |
dc.contributor.institution | School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. | |
dc.contributor.institution | School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332 USA. | |
dc.contributor.institution | School of Physics, Georgia Institute of Technology, Atlanta, GA 30332 USA. | |
kaust.person | Shamma, Jeff S. | |
dc.date.published-online | 2017-07-20 | |
dc.date.published-print | 2017-09 |
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