Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach
We propose to model the phenomenon of the spread of a rumor in social networks in this paper. From an existing SIR model, we manipulate a new one that is based on the model of cholera in order to take into account professional pages that specialize in spreading rumors. In the second part, we introdu...
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doaj-44a70b0a4c0d4016ac626a4ef6f7640f2020-11-25T03:44:47ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/67248156724815Modeling a Rumor Propagation in Online Social Network: An Optimal Control ApproachRachid Ghazzali0Amine El Bhih1Adil El Alami Laaroussi2Mostafa Rachik3Laboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University Casablanca, BP 7955, Sidi Othman, Casablanca, MoroccoLaboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University Casablanca, BP 7955, Sidi Othman, Casablanca, MoroccoLaboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University Casablanca, BP 7955, Sidi Othman, Casablanca, MoroccoLaboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University Casablanca, BP 7955, Sidi Othman, Casablanca, MoroccoWe propose to model the phenomenon of the spread of a rumor in social networks in this paper. From an existing SIR model, we manipulate a new one that is based on the model of cholera in order to take into account professional pages that specialize in spreading rumors. In the second part, we introduce a control strategy to fight against the diffusion of the rumor. Our main objective is to characterize the three optimal controls that minimize the number of spreader users, fake pages, and the corresponding costs. For that matter, using the maximum principle of Pontryagin, we prove the existence and we give characterization of our controls. Numerical simulations are given to concretize our approach.http://dx.doi.org/10.1155/2020/6724815 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rachid Ghazzali Amine El Bhih Adil El Alami Laaroussi Mostafa Rachik |
spellingShingle |
Rachid Ghazzali Amine El Bhih Adil El Alami Laaroussi Mostafa Rachik Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach Discrete Dynamics in Nature and Society |
author_facet |
Rachid Ghazzali Amine El Bhih Adil El Alami Laaroussi Mostafa Rachik |
author_sort |
Rachid Ghazzali |
title |
Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach |
title_short |
Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach |
title_full |
Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach |
title_fullStr |
Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach |
title_full_unstemmed |
Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach |
title_sort |
modeling a rumor propagation in online social network: an optimal control approach |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2020-01-01 |
description |
We propose to model the phenomenon of the spread of a rumor in social networks in this paper. From an existing SIR model, we manipulate a new one that is based on the model of cholera in order to take into account professional pages that specialize in spreading rumors. In the second part, we introduce a control strategy to fight against the diffusion of the rumor. Our main objective is to characterize the three optimal controls that minimize the number of spreader users, fake pages, and the corresponding costs. For that matter, using the maximum principle of Pontryagin, we prove the existence and we give characterization of our controls. Numerical simulations are given to concretize our approach. |
url |
http://dx.doi.org/10.1155/2020/6724815 |
work_keys_str_mv |
AT rachidghazzali modelingarumorpropagationinonlinesocialnetworkanoptimalcontrolapproach AT amineelbhih modelingarumorpropagationinonlinesocialnetworkanoptimalcontrolapproach AT adilelalamilaaroussi modelingarumorpropagationinonlinesocialnetworkanoptimalcontrolapproach AT mostafarachik modelingarumorpropagationinonlinesocialnetworkanoptimalcontrolapproach |
_version_ |
1715127150294597632 |