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amohseni/Truth-and-Conformity-on-Networks

This simulation models how social networks can influence the flow and reliability of information in inquiry. In the model, heterogeneous agents--driven, to varying degrees, by the competing priorities of accuracy and of conformity to one’s peers--share public opinions. Agents learn, via Bayesian conditionalization, both from private signal from nature, and from the public opinions of other agents.

语言:R · GitHub 星标:4 · Fork:0

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