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  • 标题:The Simple Rules of Social Contagion
  • 本地全文:下载
  • 作者:Nathan O. Hodas ; Kristina Lerman
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2014
  • 卷号:4
  • DOI:10.1038/srep04343
  • 出版社:Springer Nature
  • 摘要: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 have previously spread it increases the likelihood of a response. We provide a framework for unifying information visibility, divided attention, and explicit social feedback to predict the temporal dynamics of user behavior.
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