Journal
RESEARCH POLICY
Volume 31, Issue 5, Pages 835-846Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0048-7333(01)00147-0
Keywords
interaction; slow diffusion; social network; learning; bifurcation
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Some innovations need delay to diffuse, others often fail. The formation of social networks is a possible explanation. Considering a population of potential adopters of a technology, we set-up a model composed of interacting agents. Interaction is conceived as influence effects and the network of interpersonal influences is learning step-by-step. The gradual formation of the social network leads, after a period of latency, to a collective evaluation of the innovation. (C) 2002 Elsevier Science B.V. All rights reserved.
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