Abstract
This paper analyses competitive information spread with confirmation bias in a cyber-social network that comprises individuals in the social network layer and information sources in the cyber layer. The problem is formulated as a zero-sum game between the competitive information sources. Nash equilibrium is characterized and its properties are studied. The particular impact of confirmation bias and innate opinions on the equilibrium is studied in detail. Numerical simulations in the context of the well-known Krackhardt’s advice network demonstrate the obtained theoretical results.
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