DocumentCode :
170797
Title :
Epidemic thresholds with external agents
Author :
Banerjee, Sean ; Chatterjee, Avhishek ; Shakkottai, Sanjay
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
2202
Lastpage :
2210
Abstract :
We study the effect of external infection sources on phase transitions in epidemic processes. In particular, we consider an epidemic spreading on a network via the SIS/SIR dynamics, which in addition is aided by external agents - sources unconstrained by the graph, but possessing a limited infection rate or virulence. Such a model captures many existing models of externally aided epidemics, and finds use in many settings - epidemiology, marketing and advertising, network robustness, etc. We provide a detailed characterization of the impact of external agents on epidemic thresholds. In particular, for the SIS model, we show that any external infection strategy with constant virulence either fails to significantly affect the lifetime of an epidemic, or at best, sustains the epidemic for a lifetime which is polynomial in the number of nodes. On the other hand, a random external-infection strategy, with rate increasing linearly in the number of infected nodes, succeeds under some conditions to sustain an exponential epidemic lifetime. We obtain similar sharp thresholds for the SIR model, and discuss the relevance of our results in a variety of settings.
Keywords :
epidemics; graph theory; SIS-SIR dynamics; advertising; epidemic processes; epidemic spreading; epidemic thresholds; epidemiology; external agents; external infection sources; externally aided epidemics; graph; limited infection rate; marketing; network robustness; phase transitions; random external-infection strategy; virulence; Advertising; Analytical models; Computational modeling; Computers; Conferences; Markov processes; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6848163
Filename :
6848163
Link To Document :
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