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 | |
| 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
Multi-competitive viruses over static and time-varying networks. / Pare, Philip E.; Liu, Ji; Beck, Carolyn L.; Nedich, Angelia; Basar, Tamer.
2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1685-1690 7963195.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-competitive viruses over static and time-varying networks
AU - Pare, Philip E.
AU - Liu, Ji
AU - Beck, Carolyn L.
AU - Nedich, Angelia
AU - Basar, Tamer
PY - 2017/6/29
Y1 - 2017/6/29
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85027046267&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85027046267&partnerID=8YFLogxK
U2 - 10.23919/ACC.2017.7963195
DO - 10.23919/ACC.2017.7963195
M3 - Conference contribution
SP - 1685
EP - 1690
BT - 2017 American Control Conference, ACC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -