Journal of the Association for Information Systems · 2009 · 15 citations · 18 references
Social SciencesBusiness EconomicsEconomicsDemand ForecastingMicroeconomicsRecommender SystemsDemand TheorySocial Network AnalysisSocial NetworksBook ReviewsContagion TheoryExogenous ShocksReviews
We study the magnitude and persistence of the diffusion of exogenous demand shocks on an ecommerce recommendation network. The demand shocks are generated by book reviews on the Oprah Winfrey Show and in the NYTimes, and the recommendation network is generated by Amazonâs copurchase network. We find a strikingly high level of diffusion of exogenous shock through such networks. Neighboring books experience a dramatic increase in their demand levels, even though they are not actually featured on the review. An average of 40% of neighbors, even 4 clicks away see a statistically significant increase in their demand levels; this effect is indicative of the depth of contagion in online recommendation networks following exogenous shocks. We also document how clustered networks âtrapâ a higher fraction of the contagion closer to the reviewed book, and we provide summaries of the persistence and relative magnitude of the demand inflation of the neighborhood.
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The Role of Hubs in the Adoption Process
Jacob Goldenberg, Sangman Han, Donald R. Lehmann et al. · Journal of Marketing · 2009 · 698 citations