Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning

By Joshua Epstein, Edoardo Gallo, James Heckman, Josef Hofbauer, Charles F. Manski, David P. Myatt, Thomas Norman, Thomas W. Valente, Duncan J. Watts. 2009

703 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/f2efc6cb4928b17f62f263f789cc609409b177a3

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Citations in the corpus

A bibliometric review of the innovation adoption literature (2018, background): “38 Building on the Bass Model, the authors of the highest cited articles in this cluster have focused on the effect of social contagion, referred to as “social influence” or “social learning”, and the effect of social heterogeneity on diffusion [128, 130, 222-225].”
Binary-state dynamics on complex networks: pair approximation and beyond (2012, positive): “Models for rumor propagation, adoption of new technologies, or the spreading of behavior are often based on generalizations of disease-spread [9–11] or individual-threshold [12–15] dynamics.”
Identification of Social Interactions (2011, methodology): “This assumption follows Altonji, Huang, and Taber (2005).”
A social learning particle swarm optimization algorithm for scalable optimization (2015, background): “…loss of generality, we consider the following minimization problem: min f ¼ f ðXÞ; s:t: X 2 X ; ð3Þ where X Rn is the feasible solution set, n denotes the dimensionality of the search space, i.e., the number of decision variables, which are the behaviors to learn in the context of social learning.”
Examining drivers of sustainable consumption : the influence of norms and opinion leadership on electric vehicle adoption in Sweden (2017, background): “To conclude, and especially important in the post VW “dieselgate” affair, it is important for policymakers to steer manufacturers towards more energy efficient and cleaner products using necessary regulations (Kieckh€afer et al., 2016; Zapata and Nieuwenhuis, 2010).”
Social capital, risk preference and adoption of improved farm land management practices in Ethiopia (2015, background): “From this point of view, the main determinants of innovation adoption are: information barriers (Abdulai et al., 2008; Conley and Udry, 2010; Foster and Rosenzweig, 1995; Munshi, 2004; Rosenzweig, 2010; Young, 2009), supply-side constraints such as limited availability of credit (Coady, 1995; Croppe”
Network Effects and Social Inequality (2012, background): “Young (2009) derives the implications of several mechanisms for the shape of diffusion curves (see also Rossman et al. 2008), but under limiting assumptions (an infinite population and random ties) and without attention to implications for inequality.”