Engineering social contagions: Optimal network seeding in the presence of homophily

We use data on a real, large-scale social network of 27 million individuals interacting daily, together with the day-by-day adoption of a new mobile service product, to inform, build, and analyze data-driven simulations of the effectiveness of seeding (network targeting) strategies under different s...

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Bibliographic Details
Main Authors: MUCHNIK, LEV (Author), SUNDARARAJAN, ARUN (Author), Aral, Sinan K (Contributor)
Other Authors: Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Cambridge University Press (CUP), 2019-01-28T17:48:48Z.
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