An Effective Rumor Control Approach for Online Social Networks

Advances in Intelligent Systems and Computing - Information Systems Design and Intelligent Applications ◽

10.1007/978-981-13-3329-3_7 ◽

2018 ◽

pp. 63-73

Author(s):

S. Santhoshkumar ◽

L. D. Dhinesh Babu

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Control Approach ◽

Rumor Control

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A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

Journal of Organizational and End User Computing ◽

10.4018/joeuc.2021010103 ◽

2021 ◽

Vol 33 (1) ◽

pp. 47-70

Author(s):

Santhoshkumar Srinivasan ◽

Dhinesh Babu L. D.

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Propagation Model ◽

Information Propagation ◽

Control Approach ◽

Rumor Propagation ◽

Immunization Strategies ◽

New Information ◽

The Individual ◽

Rumor Control

Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important to reduce the damage it causes to society. Educating the individual participants of OSNs is one of the effective ways to control the rumor faster. To educate people in OSNs, this paper proposes a defensive rumor control approach that spreads anti-rumors by the inspiration from the immunization strategies of social insects. In this approach, a new information propagation model is defined to study the defensive nature of true information against rumors. Then, an anti-rumor propagation method with a set of influential spreaders is employed to defend against the rumor. The proposed approach is compared with the existing rumor containment approaches and the results indicate that the proposed approach works well in controlling the rumors.

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Defending against Online Social Network Rumors through Optimal Control Approach

Discrete Dynamics in Nature and Society ◽

10.1155/2020/6263748 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13

Author(s):

Da-Wen Huang ◽

Lu-Xing Yang ◽

Xiaofan Yang ◽

Yuan Yan Tang ◽

Jichao Bi

Keyword(s):

Social Networks ◽

Optimal Control ◽

Online Social Networks ◽

Online Social Network ◽

Computer Experiments ◽

Cost Effective ◽

Rumor Spreading ◽

Control Approach ◽

The Cost ◽

Optimal Control Approach

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.

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