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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| Format: | Article |
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Cambridge University Press (CUP)
2019
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| Online Access: | http://hdl.handle.net/1721.1/120139 https://orcid.org/0000-0002-2762-058X |