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Bribery games on interdependent complex networks.

Prateek Verma1, Anjan K Nandi1, Supratim Sengupta1

  • 1Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, 741246, India.

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|April 29, 2018
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Summary
This summary is machine-generated.

Complex network structures can promote corruption, but network randomness may favor honest officials in certain scenarios. This study explores bribery dynamics using evolutionary game theory.

Keywords:
Asymmetric gamesBribeCorruptionEvolutionary game theoryNetworksSocial evolution

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Area of Science:

  • Social Sciences
  • Game Theory
  • Network Science

Background:

  • Bribe demands, particularly harassment bribery, are global social conflicts with economic and ethical implications.
  • Understanding the evolution of corrupt and honest strategies is crucial for addressing bribery.

Purpose of the Study:

  • To analyze the evolution of corrupt and honest strategies in structured populations using an evolutionary game-theoretic framework.
  • To explore the impact of network topology, connectivity, and population asymmetry on bribery incidents.

Main Methods:

  • Employing an evolutionary game-theoretic framework.
  • Analyzing interdependent complex networks with varying topologies and population sizes.
  • Investigating the effects of network degree and randomness on strategy evolution.

Main Results:

  • Complex network topologies can favor corrupt strategies more than regular networks when populations are equal.
  • Network randomness can benefit honest officers in asymmetric populations up to a certain network degree.
  • Interplay between network properties and strategy update rules influences bribery outcomes.

Conclusions:

  • Network structure and population dynamics significantly impact the prevalence of bribery.
  • Tailoring network characteristics and understanding population asymmetry are key to mitigating corruption.