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Random Lasers as Social Processes Simulators.

Alexander Alodjants1,2, Peter Zacharenko1, Dmitry Tsarev1

  • 1Institute of Advansed Data Transfer Systems, ITMO University, 197101 St. Petersburg, Russia.

Entropy (Basel, Switzerland)
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Summary
This summary is machine-generated.

We propose a quantum-like simulator to study complex social dynamics and NP-hard problem-solving. This approach uses a novel solaser model to analyze information cascades and network cooperativity in social systems.

Keywords:
complex networksdecision-making agentsinnovation diffusionquantum-like simulatorsrandom laserssuperradiance

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Area of Science:

  • Computational Social Science
  • Complex Systems Physics
  • Network Science

Background:

  • Social processes, such as information cascades and echo chambers, are complex.
  • Solving NP-hard problems in social contexts is computationally challenging.
  • Existing models may not fully capture the emergent behaviors in social networks.

Purpose of the Study:

  • To introduce a quantum-like simulator concept for studying social processes.
  • To investigate NP-hard problem solutions within social systems.
  • To explore the application of a novel solaser model to social network dynamics.

Main Methods:

  • Development of a quantum-like simulator based on the solaser model.
  • Connection of the simulator to random laser theory (A and D-class limits).
  • Introduction and justification of network-enforced cooperativity parameters for agents.

Main Results:

  • The solaser model provides a framework for simulating information cascade growth and echo chamber formation.
  • Novel cooperativity parameters for decision-making agents in social systems are defined.
  • The simulator offers a method for measuring these novel parameters.

Conclusions:

  • The proposed quantum-like simulator offers a new paradigm for social science research.
  • This approach can provide insights into innovation diffusion and collective decision-making.
  • The solaser model and associated parameters advance the study of complex social networks.