SMIR model for controlling the spread of information in social networking sites

Kumar, A; Swarnakar, P; Jaiswal, K; Kurele, R

SMIR model for controlling the spread of information in social networking sites

Kumar, A Swarnakar, P

Jaiswal, K Kurele, R

Permalink

Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Physica A: Statistical Mechanics and its Applications, 2020, 540
Issue Date:: 2020-02-15

Closed Access

	Filename	Description	Size
	1-s2.0-S0378437119316218-main.pdf	Published version	672.33 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Kumar, A
dc.contributor.author	Swarnakar, P https://orcid.org/0000-0002-9532-1215
dc.contributor.author	Jaiswal, K
dc.contributor.author	Kurele, R
dc.date.accessioned	2020-09-28T08:38:48Z
dc.date.available	2020-09-28T08:38:48Z
dc.date.issued	2020-02-15
dc.identifier.citation	Physica A: Statistical Mechanics and its Applications, 2020, 540
dc.identifier.issn	0378-4371
dc.identifier.issn	1873-2119
dc.identifier.uri	http://hdl.handle.net/10453/142897
dc.description.abstract	© 2019 Elsevier B.V. In a social network, countering false news or rumor is one of the biggest challenges. In this study, the rumor diffusion in the homogeneous and heterogeneous social networks has been explored, introducing the concept of an anti-rumor spreading agent as the mitigator. The study consists of four types of individuals within the population, namely, spreaders, mitigators, ignorants, and stiflers. To model the interactions among the aforesaid populations, five mathematical models have been proposed for the rumor diffusion process in both homogeneous and heterogeneous environments. The proposed SMIR model has been solved using Runge-Kutta fourth-order method and then the model has been extended into a fuzzy environment to deal with the inherent uncertainties. The spreading of a rumor is a socio-psychological phenomenon which may contain delay in the process. To investigate this, the SMIR model has been transformed into a delayed SMIR model. In the heterogeneous environment, the SMIR model has been extended in a small world and scale-free networks. The results obtained are analyzed in all the cases and found that mitigator plays a critical role to control the spread of rumor in homogeneous and heterogeneous environments.
dc.language	English
dc.publisher	ELSEVIER
dc.relation	Council for International Exchange of Scholars
dc.relation.ispartof	Physica A: Statistical Mechanics and its Applications
dc.relation.isbasedon	10.1016/j.physa.2019.122978
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0105 Mathematical Physics, 0206 Quantum Physics
dc.subject.classification	Fluids & Plasmas
dc.title	SMIR model for controlling the spread of information in social networking sites
dc.type	Journal Article
utslib.citation.volume	540
utslib.for	0102 Applied Mathematics
utslib.for	0105 Mathematical Physics
utslib.for	0206 Quantum Physics
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Arts and Social Sciences/Social and Political Sciences Program
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-09-28T08:38:44Z
pubs.publication-status	Published
pubs.volume	540

Abstract:

© 2019 Elsevier B.V. In a social network, countering false news or rumor is one of the biggest challenges. In this study, the rumor diffusion in the homogeneous and heterogeneous social networks has been explored, introducing the concept of an anti-rumor spreading agent as the mitigator. The study consists of four types of individuals within the population, namely, spreaders, mitigators, ignorants, and stiflers. To model the interactions among the aforesaid populations, five mathematical models have been proposed for the rumor diffusion process in both homogeneous and heterogeneous environments. The proposed SMIR model has been solved using Runge-Kutta fourth-order method and then the model has been extended into a fuzzy environment to deal with the inherent uncertainties. The spreading of a rumor is a socio-psychological phenomenon which may contain delay in the process. To investigate this, the SMIR model has been transformed into a delayed SMIR model. In the heterogeneous environment, the SMIR model has been extended in a small world and scale-free networks. The results obtained are analyzed in all the cases and found that mitigator plays a critical role to control the spread of rumor in homogeneous and heterogeneous environments.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/142897