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@NAChristakis

Is it possible to easily identify people who wield influence within online or offline social networks, by virtue of how they are connected, without actually mapping networks? Do large-scale field experiments show how to use this to change behavior of whole populations? Yes! 1/

This week, our lab #HNL published new work in @PNASnews on “network targeting algorithms” to identify “structurally influential” people within social networks, in order to accelerate behavior change at scale.

We can artificially create tipping points.

pnas.org/doi/full/10.10… 2/

To change the behavior of whole populations, we take advantage of the “friendship paradox,” which is the mathematical fact that, on average, your friends have more friends than you do. 3/

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GAVNet

@GAValueNetwork