Differential Game Strategies for Social Networks with Self-Interested Individuals
Hossein B. Jond

TL;DR
This paper models opinion formation in social networks as a differential game, deriving Nash equilibrium strategies for selfish individuals and analyzing their impact on consensus, polarization, and disagreement.
Contribution
It introduces a differential game framework with open-loop and feedback strategies for opinion dynamics, incorporating time delays and social graph structures.
Findings
Nash equilibrium strategies are derived for both stubborn and non-stubborn populations.
Opinion trajectories exhibit consensus, polarization, and disagreement depending on strategies.
Receding horizon control effectively implements feedback strategies in social networks.
Abstract
A social network population engages in collective actions as a direct result of forming a particular opinion. The strategic interactions among the individuals acting independently and selfishly naturally portray a noncooperative game. Nash equilibrium allows for self-enforcing strategic interactions between selfish and self-interested individuals. This paper presents a differential game approach to the opinion formation problem in social networks to investigate the evolution of opinions as a result of a Nash equilibrium. The opinion of each individual is described by a differential equation, which is the continuous-time Hegselmann-Krause model for opinion dynamics with a time delay in input. The objective of each individual is to seek optimal strategies for her own opinion evolution by minimizing an individual cost function. Two differential game problems emerge, one for a population…
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