Please use this identifier to cite or link to this item:
Title: Vector-borne disinformation during disasters and emergencies
Authors: Pelen, Neslihan Nesliye
Gölgeli, Meltem
Keywords: Mathematical modeling
Mathematical sociology
Rumor model
Issue Date: 2022
Publisher: Elsevier
Source: Pelen, N. N., & Gölgeli, M. (2022). Vector-borne disinformation during disasters and emergencies. Physica A: Statistical Mechanics and its Applications, 596, 127157.
Abstract: During disasters and emergencies (earthquakes, pandemics, economic crises etc.), we also face a second challenge, pollution of information. The transmitted information may be false, potentially harmful and speculative. Today, the main source of information seems to be the social media, which behaves as a vector via sharing news. In this manuscript, the concept of the transmission dynamics of vector-borne diseases is adapted to the transmission dynamics of vector-borne disinformation. The dynamical behavior of the model is analyzed, the disinformation-free and disinformation endemic equilibria of the model are found and both their local and global stabilities are presented. Finally, numerical simulations are carried out to support the analytical results of the dynamical transmission of disinformation.(C) 2022 Elsevier B.V. All rights reserved.
ISSN: 0378-4371
Appears in Collections:Matematik Bölümü / Department of Mathematics
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.