On a Discrete-Time Network SIS Model with Opinion Dynamics

Yixuan Lin; Weihao Xuan; Ruijie Ren; Ji Liu

doi:10.1109/CDC45484.2021.9683347

On a Discrete-Time Network SIS Model with Opinion Dynamics

Yixuan Lin
, Weihao Xuan
, Ruijie Ren
, Ji Liu

Electrical Engineering

Stony Brook University
University of Leeds

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

16 Scopus citations

Abstract

This paper proposes a discrete-time network susceptible-infected-susceptible (SIS) model coupled with opinion dynamics, where the opinion dynamics models each individual's perceived severity of illness or perceived susceptibility. The effects of the opinion dynamics on the network SIS model are studied by analyzing the limiting behaviors of the system and providing illustrative simulations.

Original language	English
Title of host publication	60th IEEE Conference on Decision and Control, CDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2098-2103
Number of pages	6
ISBN (Electronic)	9781665436595
DOIs	https://doi.org/10.1109/CDC45484.2021.9683347
State	Published - 2021
Event	60th IEEE Conference on Decision and Control, CDC 2021 - Virtual, Online, United States Duration: Dec 13 2021 → Dec 17 2021

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2021-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	60th IEEE Conference on Decision and Control, CDC 2021
Country/Territory	United States
City	Virtual, Online
Period	12/13/21 → 12/17/21

Access to Document

10.1109/CDC45484.2021.9683347

Cite this

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title = "On a Discrete-Time Network SIS Model with Opinion Dynamics",

abstract = "This paper proposes a discrete-time network susceptible-infected-susceptible (SIS) model coupled with opinion dynamics, where the opinion dynamics models each individual's perceived severity of illness or perceived susceptibility. The effects of the opinion dynamics on the network SIS model are studied by analyzing the limiting behaviors of the system and providing illustrative simulations.",

author = "Yixuan Lin and Weihao Xuan and Ruijie Ren and Ji Liu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 60th IEEE Conference on Decision and Control, CDC 2021 ; Conference date: 13-12-2021 Through 17-12-2021",

year = "2021",

doi = "10.1109/CDC45484.2021.9683347",

language = "English",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2098--2103",

booktitle = "60th IEEE Conference on Decision and Control, CDC 2021",

}

Lin, Y, Xuan, W, Ren, R & Liu, J 2021, On a Discrete-Time Network SIS Model with Opinion Dynamics. in 60th IEEE Conference on Decision and Control, CDC 2021. Proceedings of the IEEE Conference on Decision and Control, vol. 2021-December, Institute of Electrical and Electronics Engineers Inc., pp. 2098-2103, 60th IEEE Conference on Decision and Control, CDC 2021, Virtual, Online, United States, 12/13/21. https://doi.org/10.1109/CDC45484.2021.9683347

On a Discrete-Time Network SIS Model with Opinion Dynamics. / Lin, Yixuan; Xuan, Weihao; Ren, Ruijie et al.
60th IEEE Conference on Decision and Control, CDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2098-2103 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December).

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

TY - GEN

T1 - On a Discrete-Time Network SIS Model with Opinion Dynamics

AU - Lin, Yixuan

AU - Xuan, Weihao

AU - Ren, Ruijie

AU - Liu, Ji

PY - 2021

Y1 - 2021

N2 - This paper proposes a discrete-time network susceptible-infected-susceptible (SIS) model coupled with opinion dynamics, where the opinion dynamics models each individual's perceived severity of illness or perceived susceptibility. The effects of the opinion dynamics on the network SIS model are studied by analyzing the limiting behaviors of the system and providing illustrative simulations.

AB - This paper proposes a discrete-time network susceptible-infected-susceptible (SIS) model coupled with opinion dynamics, where the opinion dynamics models each individual's perceived severity of illness or perceived susceptibility. The effects of the opinion dynamics on the network SIS model are studied by analyzing the limiting behaviors of the system and providing illustrative simulations.

UR - https://www.scopus.com/pages/publications/85126048897

U2 - 10.1109/CDC45484.2021.9683347

DO - 10.1109/CDC45484.2021.9683347

M3 - Conference contribution

AN - SCOPUS:85126048897

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 2098

EP - 2103

BT - 60th IEEE Conference on Decision and Control, CDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 60th IEEE Conference on Decision and Control, CDC 2021

Y2 - 13 December 2021 through 17 December 2021

ER -

On a Discrete-Time Network SIS Model with Opinion Dynamics

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