On a Discrete-Time Network SIS Model with Opinion Dynamics

Weihao Xuan; Ruijie Ren; Ji Liu

doi:10.1016/j.ifacol.2021.04.176

On a Discrete-Time Network SIS Model with Opinion Dynamics

Weihao Xuan
, Ruijie Ren
, Ji Liu

Electrical Engineering

University of Leeds

Research output: Contribution to journal › Conference article › peer-review

Abstract

This extended abstract 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
Pages (from-to)	813-816
Number of pages	4
Journal	IFAC-PapersOnLine
Volume	53
Issue number	5
DOIs	https://doi.org/10.1016/j.ifacol.2021.04.176
State	Published - 2020
Event	3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020 - Beijing, China Duration: Dec 3 2020 → Dec 5 2020

Keywords

Network SIS model
opinion dynamics

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10.1016/j.ifacol.2021.04.176

Cite this

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

abstract = "This extended abstract 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.",

keywords = "Network SIS model, opinion dynamics",

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

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.. All rights reserved.; 3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020 ; Conference date: 03-12-2020 Through 05-12-2020",

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language = "English",

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

AU - Xuan, Weihao

AU - Ren, Ruijie

AU - Liu, Ji

PY - 2020

Y1 - 2020

N2 - This extended abstract 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 extended abstract 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.

KW - Network SIS model

KW - opinion dynamics

UR - https://www.scopus.com/pages/publications/85107839645

U2 - 10.1016/j.ifacol.2021.04.176

DO - 10.1016/j.ifacol.2021.04.176

M3 - Conference article

AN - SCOPUS:85107839645

SN - 2405-8963

VL - 53

SP - 813

EP - 816

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 5

T2 - 3rd IFAC Workshop on Cyber-Physical and Human Systems, CPHS 2020

Y2 - 3 December 2020 through 5 December 2020

ER -

On a Discrete-Time Network SIS Model with Opinion Dynamics

Abstract

Keywords

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