Detecting Emotional Contagion in Massive Social Networks

نویسندگان

  • Lorenzo Coviello
  • Yunkyu Sohn
  • Adam D. I. Kramer
  • Cameron Marlow
  • Massimo Franceschetti
  • Nicholas A. Christakis
  • James H. Fowler
چکیده

Happiness and other emotions spread between people in direct contact, but it is unclear whether massive online social networks also contribute to this spread. Here, we elaborate a novel method for measuring the contagion of emotional expression. With data from millions of Facebook users, we show that rainfall directly influences the emotional content of their status messages, and it also affects the status messages of friends in other cities who are not experiencing rainfall. For every one person affected directly, rainfall alters the emotional expression of about one to two other people, suggesting that online social networks may magnify the intensity of global emotional synchrony.

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عنوان ژورنال:

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2014