This study evaluates how having multiple kinds of relations – multiplexity – affects diffusion by word-of-mouth information transmission. The study uses data from a field experiment in 49 remote villages in Karnataka, India.…Read More
This study evaluates how having multiple kinds of relations – multiplexity – affects diffusion by word-of-mouth information transmission. The study uses data from a field experiment in 49 remote villages in Karnataka, India.…Read More
The networks literature examining the diffusion of complex innovations by social contagion has focused on the benefits of “multiplex” (or “wide”) ties in these processes. Multiplex ties span different types of networks to create inter-connectivity across subgraphs within a community. …Read More
Existing research on the diffusion of innovations has focused on the benefits of using central influencers to trigger adoption cascades in networks. Yet, prior work has not examined how influencers’ role complexity moderates these benefits. …Read More
Complex innovations – ideas, practices, and technologies that hold uncertain benefits for potential adopters — often vary in their ability to diffuse in different communities over time. To explain why, I develop a model of innovation adoption in which agents engage in naïve (DeGroot) learning about the value of an innovation within their social networks.…Read More