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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787
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Authors
5- JCJustin ChengCorresponding
- LALada A. Adamic
- PAP. Alex Dow
- JKJon Kleinberg
- JLJure Leskovec
Topics & keywords
Topics
Keywords
- Cascade
- Information cascade
- Computer science
- Key (lock)
- Trajectory
- Sample (material)
- Artificial intelligence
- Machine learning
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