This paper introduces a novel class of incentive mechanisms designed to encourage self-interested users in online communities to cooperate by exchanging resources or services. These communities include social multimedia platforms, social networks, and online labor markets. Users optimize their long-term performance by adapting strategies through individual stochastic control problems, leading to the evolution of community strategies over time. The paper characterizes users' best response strategies and designs reputation-based incentive mechanisms to govern community dynamics, eliminating free-riding and promoting cooperation. These mechanisms ensure convergence to a desirable equilibrium, maximizing social welfare while aligning with users' self-interest.
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Zhang, Yu, and Mihaela van der Schaar. "Robust reputation protocol design for online communities: A stochastic stability analysis." IEEE Journal of Selected Topics in Signal Processing 7.5 (2013): 907-920.
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