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The relationships between social networks and economic behavior have been well-documented. However, it is often difficult to distinguish between the role of information sharing and other features of a neighborhood, such as factors that are common to people of the same ethnicities or socio-economic opportunities, or uniquely local methods of program implementation. The authors seek to gain new insight into the potential role of information flows in networks by investigating what happens when information is disrupted.
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