Predicting crowd behavior with big public data

@inproceedings{Kallus2014PredictingCB,
  title={Predicting crowd behavior with big public data},
  author={Nathan Kallus},
  booktitle={WWW},
  year={2014}
}
With public information becoming widely accessible and shared on today's web, greater insights are possible into crowd actions by citizens and non-state actors such as large protests and cyber activism. We present efforts to predict the occurrence, specific timeframe, and location of such actions before they occur based on public data collected from over 300,000 open content web sources in 7 languages, from all over the world, ranging from mainstream news to government publications to blogs and… CONTINUE READING
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