Impact of Confirmation Bias on Competitive Information Spread in Social Networks

This article investigates the impact of confirmation bias on competitive information spread in social network that comprises individuals a and sources at cyber layer. We formulate problem as zero-sum game, which admits unique Nash equilibrium pure strategies. characterize dependence public's innate opinions, topology, well parameters bias. uncover moves toward center only when opinions are not neutral, this move does occur for simultaneously. Numerical examples context well-known Krackhardt's advice provided to demonstrate correctness theoretical results.