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. Attached Files Name Description MIMEType Size Downloads Title Defending against online social network rumors through optimal control approach Author(s) Huang, Da-Wen 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 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open-access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Thu, 05 Nov 2020, 12:23:36 EST Thu, 05 Nov 2020, 12:46:10 EST Fri, 06 Nov 2020, 04:01:25 EST Fri, 06 Nov 2020, 06:22:51 EST Wed, 11 Nov 2020, 05:04:39 EST Wed, 11 Nov 2020, 08:54:59 EST Wed, 11 Nov 2020, 08:56:42 EST Wed, 11 Nov 2020, 11:17:04 EST Sat, 09 Jan 2021, 01:35:10 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 64 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 05 Nov 2020, 12:46:10 EST

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.