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Divide-and-conquer Tournament on Social Networks.

Jiasheng Wang1,2, Yichao Zhang3,4, Jihong Guan1,2

  • 1Department of Computer Science and Technology, Tongji University, 4800 Cao'an Road, Shanghai, 201804, China.

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In social gaming networks, the divide-and-conquer prisoner's dilemma reveals that network connectivity and strategy choice significantly impact population evolution. Strategy distribution within the network

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Area of Science:

  • Computational Social Science
  • Game Theory
  • Network Science

Background:

  • Previous research explored strategies in prisoner's dilemma games on social networks.
  • Frameworks evolved from uniform strategies to more complex divide-and-conquer approaches.

Purpose of the Study:

  • Investigate a divide-and-conquer tournament with 14 strategies on social gaming networks.
  • Analyze how strategy distribution and network connectivity influence population evolution.

Main Methods:

  • Simulated a tournament with 14 well-known strategies.
  • Measured individual fitness by accumulated and average payoff over rounds.
  • Implemented a local learning mechanism for population evolution based on fitness.

Main Results:

  • Strategy distribution across network degree ranking fundamentally alters strategy frequency.
  • Network connectivity and strategy selection are identified as key factors governing population dynamics.

Conclusions:

  • The study highlights the critical interplay between social network structure and strategic choices in evolutionary game theory.
  • Findings suggest that understanding connectivity and strategy is essential for predicting population evolution in complex social gaming environments.