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Updated: May 2, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Using big data to predict collective behavior in the real world
Helen Susannah Moat1, Tobias Preis2, Christopher Y Olivola3
1Department of Civil, Environmental and Geomatic Engineering, University College London (UCL), London, WC1E 6BT, United Kingdom. Suzy.Moat@wbs.ac.uk http://www.wbs.ac.uk/about/person/suzy-moat/
Abstract:
Recent studies provide convincing evidence that data on online information gathering, alongside massive real-world datasets, can give new insights into real-world collective decision making and can even anticipate future actions. We argue that Bentley et al.'s timely account should consider the full breadth, and, above all, the predictive power of big data.
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