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Consensus formation in opinion dynamics with online and offline interactions at complex networks

Author

Listed:
  • Zhaogang Ding

    (School of Public Management, Northwest University, Xi’an, 710069, P. R. China)

  • Yucheng Dong

    (#x2020;Business School, Sichuan University, Chengdu, 610065, P. R. China)

  • Gang Kou

    (#x2021;School of Business Administration, Southwestern University of Finance and Economics, Chengdu, 611130, P. R. China)

  • Iván Palomares

    (*School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol, Bristol, UK)

  • Shui Yu

    (#x2020;†School of Software, University of Technology, Sydney, New South Wales, Australia)

Abstract

Nowadays, with the development of information communication technology and Internet, more and more people receive information and exchange their opinions with others via online environments (e.g. Twitter, Facebook, Weibo, and WeChat). According to eMarketer Report [Worldwide Internet and Mobile Users: eMarketer’s Updated Estimates and Forecast for 2015–2020 (eMarketer Report). Published October 11, 2016, https://www.emarketer.com/Report/Worldwide-Internet-Mobile-Users-eMarketers-Updated-Estimates-Forecast-20152020/2001897).], by the end of 2016, more than 3.2 billion individuals worldwide will use the Internet regularly, accounting for nearly 45% of the world population. By contrast, the other half of the global population still obtain information and regularly exchange their opinions in a more traditional way (e.g. face to face). Generally, the speed at which information spreads and opinions are exchanged and updated in an online environment is much faster than in an offline environment. This paper focuses on jointly investigating the challenge of consensus formation in opinion dynamics with online and offline interactions. Without loss of generality, we assume the speed at which information spreads and opinions are exchanged and updated in an online environment is T (T∈ℕ) times as fast as in an offline environment. We demonstrate that the update speed ratio in mixed online and offline environments (i.e. T) strongly impacts the consensus formation at complex networks: a large update speed ratio of online and offline environments (i.e. T) makes it difficult for all agents to reach consensus in opinion dynamics. Furthermore, these effects are often further intensified as the number of online participating agents increases.

Suggested Citation

  • Zhaogang Ding & Yucheng Dong & Gang Kou & Iván Palomares & Shui Yu, 2018. "Consensus formation in opinion dynamics with online and offline interactions at complex networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(07), pages 1-15, July.
    • Handle: RePEc:wsi:ijmpcx:v:29:y:2018:i:07:n:s0129183118500468
    DOI: 10.1142/S0129183118500468
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    Cited by:

    1. Shen, Han & Tu, Lilan & Wang, Xianjia, 2024. "The influence of emotional tendency on the dissemination and evolution of opinions in two-layer social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).

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