The Open Cybernetics & Systemics Journal




(Discontinued)

ISSN: 1874-110X ― Volume 12, 2018

The Optimal Isolation Strategy for Network Public Opinion with Enclosed Environment



Kuan Yang*, Sasa Yu
School of Business Administration, Hunan University, Changsha, Hunan 410082, China

Abstract

Public opinion dissemination control is of crucial importance to facilitate reliable and efficient data delivery, especially in networks consisting of openness, sharing and convenience. From a systematic point of view, we aim to explore the optimal control policy for information dissemination with relatively enclosed environment. To control the effusion of network public opinion is more important than deleting existing information about it. We depict the impact of isolation strategy on the transmission dynamics of network public opinion. Since the abstraction of information dissemination much resembles the spread of epidemics, a simplified SLIR model is utilized to characterize the collective dynamics of information dissemination over networks. Moreover, an optimal objective based on the maximum social utility is established, namely, minimizing both the total outbreak size of public opinion and the relevant costs of isolations. The optimal solution is acquired by using the Pontryagin’s Maximum Principle. Lastly, the simulations to the opinion control efficacy are accomplished, so the effectiveness of the control methods in the network public opinion is verified.

Keywords: Enclosed environment, Isolation, Network public opinion, SLIR model, The dynamic optimal control.


Article Information


Identifiers and Pagination:

Year: 2016
Volume: 10
First Page: 242
Last Page: 249
Publisher Id: TOCSJ-10-242
DOI: 10.2174/1874110X01610010242

Article History:

Received Date: 15/03/2016
Revision Received Date: 06/10/2016
Acceptance Date: 06/10/2016
Electronic publication date: 25/11/2016
Collection year: 2016

© Yang and Yu; Licensee Bentham Open

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.


* Address correspondence to this author at the School of Business Administration, Hunan University, Changsha, Hunan 410082, China; Tel: +8618900739680; E-mails: yangkuan@hnu.edu.cn, yss@hnu.edu.cn



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