research-article

Research on Explosion Model of Network Rumor Spreading

Authors:

Chengcheng LiAuthors Info & Claims

IMMS '19: Proceedings of the 2nd International Conference on Information Management and Management Sciences

Pages 28 - 32

https://doi.org/10.1145/3357292.3357298

Published: 23 August 2019 Publication History

Abstract

With the wide application of mobile social networks, rumor spreading is more explosive, more quickly, and has a bad impact. Therefore, exploring the law of rumor spreading has always been a hot topic of current research. Inspired by the explosion process of explosives, this paper constructs an explosion model of network rumor spreading. Firstly, analogy the explosion process of explosives and the process of rumor spreading and establish the theoretical basis of the model. Secondly, the UBEN network rumor propagation model based on the explosive explosion principle is constructed. By establishing the average field equation, the rumor impact threshold is studied, and the influence of the factors on the rumor spreading process is simulated. The experimental results verify the rationality of the model and provide a theoretical basis for the formulation of relevant policies. The research results of this paper not only provide new ideas for the study of rumor spreading, but also help to further understand the law of rumor spreading, which has certain theoretical and practical value.

References

[1]

Daley D J, Kendall D G. Epidemics and Rumors. Nature, 1964, 204(4963):1118--1118.

[2]

Daley D J, Kendall D G. Stochastic Rumors. Ima Journal of Applied Mathematics, 1965, 1(1):42--55.

[3]

Maki D P, Thompson M. Mathematical Models and Applications. New Jersey: Prentice-Hall, Englewood Cliff, 1973.

[4]

Zanette D H, Argentina R N. Critical behavior of propagation on small-word networks. Phys. Rev. E, 2001, 64:1725--1732.

[5]

Zanette D H. Dynamics of rumor propagation on small word networks. Phys. Rev. E, 2001, 65:110--126.

[6]

Moreno Y, Nekovee M, Vespignani A. Efficiency and reliability of epidemic data dissemination in complex networks. Phys. Rev. E, 2004, 69: 343--358.

[7]

Moreno Y, Nekovee M, Pacheco A. Dynamics of rumor spreading in complex networks. Phys. Rev. E, 2004, 69.

[8]

Nekovee M, Moreno Y, Bianconi G, et al. Theory of rumour spreading in complex social networks. Physica A: Statistical Mechanics and its Applications, 2007, 374(1): 457--470.

[9]

Isham V, Harden S, Nekovee M. Stochastic epidemics and rumors on finite random networks. Physica A Statistical Mechanics & Its Applications, 2010, 389(3):561--576.

[10]

Fan Chunlong, Song Huimin, Dingguohui. Research on an Improved SEIR Network Rumor Propagation Model. JOURNAL OF INTELLIGENCE, 2017(03):90--95.

[11]

Xu Huijie, Cai Wandong, Chen Guirong, Research on Web Forum Oriented Rumor Spreading and Inhibitions. COMPLEX SYSTEMS AND COMPLEXITY SCIENCE, 2016, 13(2):83--89.

[12]

Zhao Min, Chen Wenxia, Song Qiankun. Research on a Rumor Spreading Model With Media Coverage. Applied Mathematics and Mechanics, 2018, 39(12): 1400--1409.

[13]

Tan Zhenhua, Shi Yingcheng, et al. Rumor Propagation Analysis Model Inspired by Gravity Theory for Online Social Networks. Journal of Computer Research and Development, 2017(11):171--184.

[14]

Tan Z, Ning J, Liu Y, et al. ECRModel: An Elastic Collision-Based Rumor-Propagation Model in Online Social Networks. IEEE Access, 2016, 4:6105--6120.

[15]

Zhan Xin, Xia Zhijie, et al. Research on the Factors Affecting the Collective Intelligence to Suppress Social Media Rumors Spreading. Library, 2018, No.287(08):89--94.

[16]

Wang C, Tan Z X, Ye Y, et al. A rumor spreading model based on information entropy. Scientific Reports, 2017, 7(1):9615.

[17]

Li Yiqi, Ma Suzhen. Explosion Mechanics. Science Press, 1992.

Cited By

Chen TWu TYang JXu B(2024)Modeling of network public opinion communication based on social combustion theory under sudden social hot eventsPLOS ONE10.1371/journal.pone.031196819:11(e0311968)Online publication date: 6-Nov-2024
https://doi.org/10.1371/journal.pone.0311968
Lv WZhou WGao BHan YFang H(2022)New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in ChinaFrontiers in Public Health10.3389/fpubh.2022.86495510Online publication date: 27-Jun-2022
https://doi.org/10.3389/fpubh.2022.864955
Li WWei DZhou XLi SJin Q(2022)F‐SWIR: Rumor Fick‐spreading model considering fusion information decay in social networksConcurrency and Computation: Practice and Experience10.1002/cpe.716634:22Online publication date: 9-Aug-2022
https://doi.org/10.1002/cpe.7166

Index Terms

Research on Explosion Model of Network Rumor Spreading
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Social networks

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IMMS '19: Proceedings of the 2nd International Conference on Information Management and Management Sciences

August 2019

227 pages

ISBN:9781450371445

DOI:10.1145/3357292

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Guilin: Guilin University of Technology, Guilin, China
Southwest Jiaotong University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 2019

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IMMS 2019

IMMS 2019: 2019 2nd International Conference on Information Management and Management Sciences

August 23 - 25, 2019

Chengdu, China

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Cited By

Chen TWu TYang JXu B(2024)Modeling of network public opinion communication based on social combustion theory under sudden social hot eventsPLOS ONE10.1371/journal.pone.031196819:11(e0311968)Online publication date: 6-Nov-2024
https://doi.org/10.1371/journal.pone.0311968
Lv WZhou WGao BHan YFang H(2022)New Insights Into the Social Rumor Characteristics During the COVID-19 Pandemic in ChinaFrontiers in Public Health10.3389/fpubh.2022.86495510Online publication date: 27-Jun-2022
https://doi.org/10.3389/fpubh.2022.864955
Li WWei DZhou XLi SJin Q(2022)F‐SWIR: Rumor Fick‐spreading model considering fusion information decay in social networksConcurrency and Computation: Practice and Experience10.1002/cpe.716634:22Online publication date: 9-Aug-2022
https://doi.org/10.1002/cpe.7166

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