Influence Networks

Some behaviors, ideas or technologies spread and become persistent in society, whereas others vanish. This paper analyzes the role of social influence in determining such distinct collective outcomes. Agents are assumed to acquire information from others through certain sampling process that generates an influence network, and they use simple rules to decide whether to adopt or not depending on the observed sample. The authors characterize, as a function of the primitives of the model, the diffusion threshold (i.e., the spreading rate above which the adoption of the new behavior becomes persistent in the population) and the endemic state (i.e., the fraction of adopters in the stationary state of the dynamics).

Provided by: Universite Catholique de Louvain Topic: Social Enterprise Date Added: Dec 2010 Format: PDF

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