Mathematical modelling of a rumour spreading with the attitude of adjusting mechanisms

Norhayati, Rosli and Muhammad Fahmi, Ahmad Zuber and Turab, Ali (2024) Mathematical modelling of a rumour spreading with the attitude of adjusting mechanisms. Sains Malaysiana, 53 (3). pp. 719-731. ISSN 0126-6039. (Published)

[img]
Preview
Pdf
Sains Malaysiana NR.pdf

Download (959kB) | Preview

Abstract

With the advent of the internet, social media of Facebook and Twitter, as well as the communication technology of WhatsApp and Telegram, the speed and scope of the rumour dissemination has been expanded. Understanding the characterization of rumour dissemination and how it spreads can help in mitigation measures to avoid the spread of the rumour. Therefore, it is crucial to propose a mathematical model, and in particular this paper is concerned with the epidemic model to understand the dissemination of the rumour in social network. The mechanism of rumour propagation is behaving like infectious diseases spread; hence this research adopted the epidemiological model approach. In this network, the compartment is divided into susceptible, ignorant, propagation and stiflers. The basic influence number, the equilibrium points of rumour-free and the endemic equilibrium state were obtained and discussed. For the local stability, the Next Generation Matrix was used. Numerical simulation is performed to understand the dynamics of the spread of rumour in a population or social networks, its impact in a population, and adjusting mechanisms in curbing the spread of rumour.

Item Type: Article
Uncontrolled Keywords: Adjusting mechanism; Mathematical model; Rumour spreading; Stability
Subjects: Q Science > QA Mathematics
Faculty/Division: Center for Mathematical Science
Institute of Postgraduate Studies
Centre of Excellence for Artificial Intelligence & Data Science
Depositing User: Dr. Norhayati Rosli
Date Deposited: 21 Mar 2024 05:50
Last Modified: 21 Mar 2024 05:50
URI: http://umpir.ump.edu.my/id/eprint/40721
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item