4.7 Article

Leader-Follower Opinion Dynamics of Signed Social Networks With Asynchronous Trust/Distrust Level Evolution

Journal

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TNSE.2021.3122446

Keywords

Social networking (online); Psychology; Blogs; Robots; Leadership; Automation; Analytical models; Opinion dynamics; signed social networks; opinion leaders; asynchronous interactions

Funding

  1. National Key R&D Program of China [2018YFC1505203]
  2. National Natural Science Foundation of China [U1830207, 61772003, 61773255, 61903066, 62103080]
  3. National Postdoctoral Program for Innovative Talents [BX2021056]
  4. China Postdoctoral Science Foundation [2018M640905, 2021M690560]
  5. Sichuan Science and Technology Program [2021YFH0042]
  6. Shenzhen Institute of Artificial Intelligence and Robotics for Society

Ask authors/readers for more resources

This paper introduces a new opinion dynamic model that explains the evolution of trust/distrust levels between agents due to opinion differences. It also conducts a theoretical analysis on opinion consensus and polarization with the presence of a stubborn leader, and further explores opinion dynamics in networks with multiple non-stubborn leaders. Numerical simulations are provided to illustrate the theoretical results.
Trust and distrust are common in the opinion interactions among agents in signed social networks. To explain the gradual evolution of the trust/distrust level between agents due to opinion difference, this paper proposes a new opinion dynamic model with asynchronous evolution of edge weights. In the model, the trust/distrust level between agents is portrayed as a nonlinear weight function of their opinion difference, and each agent only interacts with the neighbors at the times determined by its own will. In the presence of a stubborn leader with a firm stand, a comprehensive theoretical analysis for opinion consensus and opinion polarization is performed by using the related properties of sub-stochastic and super-stochastic matrices. Moreover, the opinion dynamics over an arbitrary underlying network with multiple non-stubborn leaders is further explored. Finally, some numerical simulations are provided to illustrate the theoretical results.

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