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International Conference on Green, Pervasive, and Cloud Computing

GPC 2018: Green, Pervasive, and Cloud Computing pp 256–266Cite as

Dual World Network Model Based Social Information Competitive Dissemination

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11204))

Abstract

The study of the competitive dissemination of various social information is of great significance to product marketing, political competition, and public opinion. Based on the existing small-world network model, this paper establishes a dual world network model that combines geographical factors to describe the information dissemination in society from two aspects of human relations and geographical relations. In addition, in order to describe the competitive relationship of a variety of opinions, the Opinion Acceptance Rules (OAR) were designed and simulated in the MATLAB environment. Therefore, this paper proves a lot of communication phenomena such as information explosion, information balance, and information island.

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Authors and Affiliations

  1. School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China

    Ze-lin Zang, Jia-hui Li, Ling-yun Xu & Xu-sheng Kang

  2. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310027, China

    Ze-lin Zang

Authors
  1. Ze-lin Zang
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  2. Jia-hui Li
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  3. Ling-yun Xu
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  4. Xu-sheng Kang
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Corresponding author

Correspondence to Xu-sheng Kang .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Shijian Li

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Zang, Zl., Li, Jh., Xu, Ly., Kang, Xs. (2019). Dual World Network Model Based Social Information Competitive Dissemination. In: Li, S. (eds) Green, Pervasive, and Cloud Computing. GPC 2018. Lecture Notes in Computer Science(), vol 11204. Springer, Cham. https://doi.org/10.1007/978-3-030-15093-8_18

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  • DOI: https://doi.org/10.1007/978-3-030-15093-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15092-1

  • Online ISBN: 978-3-030-15093-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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