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Defending against online social network rumors through optimal control approach

Huang, Da-Wen, Yang, Lu-Xing, Yang, Xiaofan, Tang, Yuan Yan and Bi, Jichao 2020, Defending against online social network rumors through optimal control approach, Discrete dynamics in nature and society, vol. 2020, pp. 1-13, doi: 10.1155/2020/6263748.

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Title Defending against online social network rumors through optimal control approach
Author(s) Huang, Da-Wen
Yang, Lu-XingORCID iD for Yang, Lu-Xing orcid.org/0000-0002-9229-5787
Yang, Xiaofan
Tang, Yuan Yan
Bi, Jichao
Journal name Discrete dynamics in nature and society
Volume number 2020
Article ID 6263748
Start page 1
End page 13
Total pages 13
Publisher Hindawi
Place of publication [London, Eng.]
Publication date 2020
ISSN 1026-0226
1607-887X
Summary Rumors have been widely spread in online social networks and they become a major concern in modern society. This paper is devoted to the design of a cost-effective rumor-containing scheme in online social networks through an optimal control approach. First, a new individual-based rumor spreading model is proposed, and the model considers the influence of the external environment on rumor spreading for the first time. Second, the cost-effectiveness is recommended to balance the loss caused by rumors against the cost of a rumor-containing scheme. On this basis, we reduce the original problem to an optimal control model. Next, we prove that this model is solvable, and we present the optimality system for the model. Finally, we show that the resulting rumor-containing scheme is cost-effective through extensive computer experiments.
Language eng
DOI 10.1155/2020/6263748
Indigenous content off
Field of Research 0102 Applied Mathematics
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144928

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.