Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism

It is of great practical significance to figure out the propagation mechanism and outbreak condition of rumor spreading on online social networks. In our paper, we propose a multi-state reinforcement diffusion model for rumor spreading, in which the reinforcement mechanism is introduced to depict in...

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Main Authors: Yuan Xu, Renjie Mei, Yujie Yang, Zhengmin Kong
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Advances in Mathematical Physics
Online Access:http://dx.doi.org/10.1155/2019/7241021
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spelling doaj-62d79b3550ed478090cc5596d154bc192021-07-02T14:25:53ZengHindawi LimitedAdvances in Mathematical Physics1687-91201687-91392019-01-01201910.1155/2019/72410217241021Modeling and Analysis of Rumor Spreading with Social Reinforcement MechanismYuan Xu0Renjie Mei1Yujie Yang2Zhengmin Kong3College of Literature and Journalism, Minzu University of China, Beijing 100081, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaIt is of great practical significance to figure out the propagation mechanism and outbreak condition of rumor spreading on online social networks. In our paper, we propose a multi-state reinforcement diffusion model for rumor spreading, in which the reinforcement mechanism is introduced to depict individual willingness towards rumor spreading. Multiple intermediate states are introduced to characterize the process that an individual's diffusion willingness is enhanced step by step. We study the rumor spreading process with the proposed reinforcement diffusion mechanism on two typical networks. The outbreak thresholds of rumor spreading on both two networks are obtained. Numerical simulations and Monte Carlo simulations are conducted to illustrate the spreading process and verify the correctness of theoretical results. We believe that our work will shed some light on understanding how human sociality affects the rumor spreading on online social networks.http://dx.doi.org/10.1155/2019/7241021
collection DOAJ
language English
format Article
sources DOAJ
author Yuan Xu
Renjie Mei
Yujie Yang
Zhengmin Kong
spellingShingle Yuan Xu
Renjie Mei
Yujie Yang
Zhengmin Kong
Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism
Advances in Mathematical Physics
author_facet Yuan Xu
Renjie Mei
Yujie Yang
Zhengmin Kong
author_sort Yuan Xu
title Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism
title_short Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism
title_full Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism
title_fullStr Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism
title_full_unstemmed Modeling and Analysis of Rumor Spreading with Social Reinforcement Mechanism
title_sort modeling and analysis of rumor spreading with social reinforcement mechanism
publisher Hindawi Limited
series Advances in Mathematical Physics
issn 1687-9120
1687-9139
publishDate 2019-01-01
description It is of great practical significance to figure out the propagation mechanism and outbreak condition of rumor spreading on online social networks. In our paper, we propose a multi-state reinforcement diffusion model for rumor spreading, in which the reinforcement mechanism is introduced to depict individual willingness towards rumor spreading. Multiple intermediate states are introduced to characterize the process that an individual's diffusion willingness is enhanced step by step. We study the rumor spreading process with the proposed reinforcement diffusion mechanism on two typical networks. The outbreak thresholds of rumor spreading on both two networks are obtained. Numerical simulations and Monte Carlo simulations are conducted to illustrate the spreading process and verify the correctness of theoretical results. We believe that our work will shed some light on understanding how human sociality affects the rumor spreading on online social networks.
url http://dx.doi.org/10.1155/2019/7241021
work_keys_str_mv AT yuanxu modelingandanalysisofrumorspreadingwithsocialreinforcementmechanism
AT renjiemei modelingandanalysisofrumorspreadingwithsocialreinforcementmechanism
AT yujieyang modelingandanalysisofrumorspreadingwithsocialreinforcementmechanism
AT zhengminkong modelingandanalysisofrumorspreadingwithsocialreinforcementmechanism
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