Diffusion of innovations in social networks
Author(s)Acemoglu, Daron; Ozdaglar, Asuman E.; Yildiz, Ercan
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While social networks do affect diffusion of innovations, the exact nature of these effects are far from clear, and, in many cases, there exist conflicting hypotheses among researchers. In this paper, we focus on the linear threshold model where each individual requires exposure to (potentially) multiple sources of adoption in her neighborhood before adopting the innovation herself. In contrast with the conclusions in the literature, our bounds suggest that innovations might spread further across networks with a smaller degree of clustering. We provide both analytical evidence and simulations for our claims. Finally, we propose an extension for the linear threshold model to better capture the notion of path dependence, i.e., a few minor shocks along the way could alter the course of diffusion significantly.
DepartmentMassachusetts Institute of Technology. Department of Economics; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Proceedings of the 50th IEEE Conference on Decision and Control (CDC-ECC), 2011
Institute of Electrical and Electronics Engineers (IEEE)
Acemoglu, Daron, Asuman Ozdaglar, and Ercan Yildiz. “Diffusion of Innovations in Social Networks.” Proceedings of the 50th IEEE Conference on Decision and Control (CDC-ECC), 2011. 2329–2334.
Author's final manuscript