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ORIGINAL RESEARCH article

Front. Phys.
Sec. Social Physics
Volume 12 - 2024 | doi: 10.3389/fphy.2024.1475352
This article is part of the Research Topic Network Learning and Propagation Dynamics Analysis View all 14 articles

Behavioral propagation influenced by enthusiasm psychology and assimilation avoidance effect under the double-layer heterogeneous network

Provisionally accepted
Jun Zhang Jun Zhang 1Huiheng Liu Huiheng Liu 1Shenhong Li Shenhong Li 1Ningbo Zhang Ningbo Zhang 2*
  • 1 School of Physics and Electronic Engineering, Hubei University of Arts and Science, Xiangyang, China
  • 2 Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    To undercover the distinct impact of heterogeneous strategies on information diffusion, this paper develops a double-layer network to stimulate the information propagation process of individual with the enthusiasm psychology and the assimilation avoidance effect. The enthusiasm psychology is captured by an increasing adoption function and the assimilation avoidance effect is modeled by an oscillating adoption function. This study analyzes the proportion of nodes in the Recovered state (R-state) and their relative variance to characterize the information diffusion mechanism applying both theoretical and numerical methods. Results show that enhancing the individual's enthusiasm psychology and the assimilation avoidance effect can accelerate the information propagation. When the two layers experience outbreaks that do not occur simultaneously, the propagation range exhibits a first-order discontinuous increase. When there are a dominate layer in the process of information spreading, the propagation range shows a second continuous boundary.

    Keywords: Complex Network, information propagation, heterogeneous network, enthusiasm psychology, Assimilation Avoidance

    Received: 03 Aug 2024; Accepted: 12 Dec 2024.

    Copyright: © 2024 Zhang, Liu, Li and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ningbo Zhang, Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing, 100876, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.