TY - GEN
T1 - A Coupled Bi-Virus Spread Model in Networked Systems
AU - Paré, Philip E.
AU - Liu, Ji
AU - Beck, Carolyn L.
AU - Başar, Tamer
N1 - Funding Information:
Ji Liu is with the Department of Electrical and Computer Engineering at Stony Brook University (ji.liu@stonybrook.edu). Philip E. Paré, Carolyn L. Beck, and Tamer Bas¸ar are with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign ({philpare, beck3, basar1}@illinois.edu). The work of Liu and Bas¸ar was supported in part by Office of Naval Research (ONR) MURI Grant N00014-16-1-2710, and in part by NSF under grant CCF 11-11342. The work of Paré and Beck was sponsored in part by NSF grants CNS 1544953 and ECCS 1509302. All material in this paper represents the position of the authors and not necessarily that of NSF. The proofs of the assertions in this paper are omitted due to space limitations and will be given in an expanded version of the paper.
Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - This paper considers a coupled continuous-time bi-virus spreading model in networked systems. The main motivating applications are competing fake news stories spreading in different social networks, and viruses spreading in computer networks. We present the model and some assumptions for the system to be well defined, explore the equilibria of the model, and present analysis of the healthy equilibrium. We illustrate the behavior of the model via simulation, presenting topics for further analysis via a number of conjectures.
AB - This paper considers a coupled continuous-time bi-virus spreading model in networked systems. The main motivating applications are competing fake news stories spreading in different social networks, and viruses spreading in computer networks. We present the model and some assumptions for the system to be well defined, explore the equilibria of the model, and present analysis of the healthy equilibrium. We illustrate the behavior of the model via simulation, presenting topics for further analysis via a number of conjectures.
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U2 - 10.23919/ACC.2018.8430785
DO - 10.23919/ACC.2018.8430785
M3 - Conference contribution
AN - SCOPUS:85052573596
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 4414
EP - 4419
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -