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Detecting Emotional Contagion in Massive Social Networks

Overview of attention for article published in PLOS ONE, March 2014
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Title
Detecting Emotional Contagion in Massive Social Networks
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090315
Pubmed ID
Authors

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

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 615 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 761 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 2%
United Kingdom 6 <1%
Portugal 5 <1%
Germany 2 <1%
Australia 2 <1%
Japan 2 <1%
Switzerland 2 <1%
Brazil 2 <1%
Italy 1 <1%
Other 14 2%
Unknown 709 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 176 23%
Student > Master 105 14%
Researcher 86 11%
Student > Bachelor 78 10%
Student > Doctoral Student 46 6%
Other 147 19%
Unknown 123 16%
Readers by discipline Count As %
Psychology 172 23%
Social Sciences 126 17%
Computer Science 95 12%
Business, Management and Accounting 56 7%
Medicine and Dentistry 23 3%
Other 135 18%
Unknown 154 20%