Identifying Social Influence in Networks Using Randomized Experiments

  title={Identifying Social Influence in Networks Using Randomized Experiments},
  author={Sinan Aral and Dylan Walker},
  journal={IEEE Intelligent Systems},
The recent availability of massive amounts of networked data generated by email, instant messaging, mobile phone communications, micro blogs, and online social networks is enabling studies of population-level human interaction on scales orders of magnitude greater than what was previ ously possible.1'2 One important goal of applying statistical inference techniques to large networked datasets is to understand how behavioral conta gions spread in human social networks. More pre cisely… CONTINUE READING

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