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Explosive transitions induced by interdependent contagion-consensus dynamics in multiplex networks.

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Summary
This summary is machine-generated.

This study models how information spread and opinion formation interact in social networks. Strong coupling leads to explosive transitions, creating stable states of consensus and disagreement.

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Area of Science:

  • Complex Systems
  • Social Network Analysis
  • Computational Social Science

Background:

  • Understanding social systems requires modeling information diffusion and opinion dynamics.
  • Interactions between these processes can lead to complex emergent behaviors.

Purpose of the Study:

  • To introduce a novel model for studying the interplay between information spreading and opinion formation.
  • To investigate the impact of coupled dynamics on social system behavior.

Main Methods:

  • A two-layer multiplex network framework was developed.
  • Opinion dynamics occurred on one layer, information spreading on the other, with mutual coupling.
  • Numerical simulations were employed to analyze the system's behavior.

Main Results:

  • A double explosive transition was observed under strong coupling between layers.
  • This transition manifested as discontinuous changes in both consensus and information spreading.
  • Bi-stability regions emerged, allowing stable states of both consensus-informed and disagreement-uninformed nodes.

Conclusions:

  • The coupled dynamics of information spreading and opinion formation can drive explosive transitions in social systems.
  • These transitions result in robust bi-stable states, highlighting the complex emergent properties of social networks.