The simple rules of social contagion.
Ontology highlight
ABSTRACT: 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 far more complex. 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 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
SUBMITTER: Hodas NO
PROVIDER: S-EPMC3949249 | biostudies-literature | 2014 Mar
REPOSITORIES: biostudies-literature
ACCESS DATA