preprintJan 1, 2014Closed access

Can cascades be predicted

JCJustin ChengLALada A. AdamicPAP. Alex DowJKJon KleinbergJLJure Leskovec

Abstract

On many social networking web sites such as Facebook and Twit-ter, resharing or reposting functionality allows users to share oth-ers ’ content with their own friends or followers. As content is reshared from user to user, large cascades of reshares can form. While a growing body of research has focused on analyzing and characterizing such cascades, a recent, parallel line of work has argued that the future trajectory of a cascade may be inherently un-predictable. In this work, we develop a framework for addressing cascade prediction problems. On a large sample of photo reshare cascades on Facebook, we find strong performance in predicting whether a cascade will continue to grow in the future. We find that the…

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Authors

5
  • JC
    Justin ChengCorresponding
  • LA
    Lada A. Adamic
  • PA
    P. Alex Dow
  • JK
    Jon Kleinberg
  • JL
    Jure Leskovec

Topics & keywords

Keywords
  • Cascade
  • Information cascade
  • Computer science
  • Key (lock)
  • Trajectory
  • Sample (material)
  • Artificial intelligence
  • Machine learning
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