Multi-competitive viruses over static and time-varying networks

Philip E. Pare; Ji Liu; Carolyn L. Beck; Angelia Nedich; Tamer Basar

doi:10.23919/ACC.2017.7963195

Multi-competitive viruses over static and time-varying networks

Philip E. Pare, Ji Liu, Carolyn L. Beck, Angelia Nedich, Tamer Basar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Scopus citations

Abstract

Epidemic processes are used commonly for modeling and analysis of biological networks, computer networks, and human contact networks. The idea of competing viruses has been explored recently, motivated by the spread of different ideas along different social networks. Previous studies of competitive viruses have focused only on two viruses and on static networks. In this paper, we consider multiple competing viruses over static and dynamic graph structures, and investigate the eradication and propagation of diseases in these systems. Stability analysis for the class of models we consider is performed and an antidote control technique is proposed.

Original language	English (US)
Title of host publication	2017 American Control Conference, ACC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1685-1690
Number of pages	6
ISBN (Electronic)	9781509059928
DOIs	https://doi.org/10.23919/ACC.2017.7963195
State	Published - Jun 29 2017
Event	2017 American Control Conference, ACC 2017 - Seattle, United States Duration: May 24 2017 → May 26 2017

Other

Other	2017 American Control Conference, ACC 2017
Country	United States
City	Seattle
Period	5/24/17 → 5/26/17

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ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

Pare, P. E., Liu, J., Beck, C. L., Nedich, A., & Basar, T. (2017). Multi-competitive viruses over static and time-varying networks. In 2017 American Control Conference, ACC 2017 (pp. 1685-1690). [7963195] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2017.7963195

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AU - Liu, Ji

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AU - Nedich, Angelia

AU - Basar, Tamer

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AB - Epidemic processes are used commonly for modeling and analysis of biological networks, computer networks, and human contact networks. The idea of competing viruses has been explored recently, motivated by the spread of different ideas along different social networks. Previous studies of competitive viruses have focused only on two viruses and on static networks. In this paper, we consider multiple competing viruses over static and dynamic graph structures, and investigate the eradication and propagation of diseases in these systems. Stability analysis for the class of models we consider is performed and an antidote control technique is proposed.

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Access to Document

10.23919/ACC.2017.7963195