The Simple Rules of Social Contagion

See on Scoop.itPapers

It is commonly believed that information spreads between individuals like a pathogen, with each exposure by an informed friend potentially resulting in a naive individual becoming infected. However, empirical studies of social media suggest that individual response to repeated exposure to information is significantly more complex than the prediction of the pathogen model. As a proxy for intervention experiments, we compare user responses to multiple exposures on two different social media sites, Twitter and Digg. We show that the position of the exposing messages on the user-interface strongly affects social contagion. Accounting for this visibility significantly simplifies the dynamics of social contagion. The likelihood an individual will spread information increases monotonically with exposure, while explicit feedback about how many friends have previously spread it increases the likelihood of a response. We apply our model to real-time forecasting of user behavior.

 

The Simple Rules of Social Contagion
Nathan O. Hodas, Kristina Lerman

http://arxiv.org/abs/1308.5015

See on arxiv.org

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About Michele Battle-Fisher

This is an archive of the Orgcomplexity Blog. Please follow me at the following sites: mbattlefisher.wix.com/orgcomplexity Michele Battle-Fisher (Facebook author page) www.linkedin.com/in/mbattlefisher mbattlefisher (Twitter) michele.battle.fisher (Skype) Author Website http://amazon.com/author/michelebattlefisher

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