Abstract
In this paper, we consider a population of a social network in which a fake news propagates and divides it into four categories: ignorants, spreaders, stiflers who accept the rumor, and stiflers who oppose the rumor. Starting from a SIR type model describing the propagation of e-rumor, we modify it by adding some external actions and control them in order to reduce the spread of a bad information. To carry out this investigation, we use known facts from optimal control theory. Numerical simulations illustrate the efficiency of the obtained control strategy.
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Acknowledgment
The authors would like to thank Mr. Raphael Pasquier, of the C3I center of the University of “Antilles”, who helped us to perform the different figures. We also thank the anonymous referees for their valuable remarks and comments which improved the presentation of this manuscript.
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Bernard, S., César, T., Piétrus, A. (2018). Spreading Rumors and External Actions. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2017. Lecture Notes in Computer Science(), vol 10665. Springer, Cham. https://doi.org/10.1007/978-3-319-73441-5_20
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DOI: https://doi.org/10.1007/978-3-319-73441-5_20
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