What Do Leaders Know?

Entropy

Giacomo Livan¹ 

关键词: social networks;    information diffusion;    social learning;   

DOI  :  10.3390/e15083031

来源: mdpi

【 摘 要 】

The ability of a society to make the right decisions on relevant matters relies on its capability to properly aggregate the noisy information spread across the individuals of which it is made. In this paper, we study the information aggregation performance of a stylized model of a society, whose most influential individuals—the leaders—are highly connected among themselves and uninformed. Agents update their state of knowledge in a Bayesian manner by listening to their neighbors. We find analytical and numerical evidence of a transition, as a function of the noise level in the information initially available to agents, from a regime where information is correctly aggregated, to one where the population reaches consensus on the wrong outcome with finite probability. Furthermore, information aggregation depends in a non-trivial manner on the relative size of the clique of leaders, with the limit of a vanishingly small clique being singular.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.