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It has been empirically shown that structural holes in social networks enable potential large benefits to those individuals who bridge them (Burt, 2004). The work in Goyal and Vega-Redondo (2007) shows that the large payoff differentials caused by structural holes can persist even when agents...
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We study a sequential-learning model featuring a network of naive agents with Gaussian information structures. Agents …' actions in terms of network paths and use this formula to characterize the set of networks where naive agents eventually learn … expected welfare losses, across network structures. The probability of mislearning increases when link densities are higher and …
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