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Measuring and Predicting Human Behaviour using Online Data

Tobias Preis 

Warwick Business School, Data Science Lab, Scarman Road, Coventry CV47AL, United Kingdom

Abstract

Mammoth amounts of data are now being generated through society’s extensive interactions with technological systems, automatically documenting collective human behaviour in a previously unimaginable fashion. In this talk, I will outline recent results of our research programme at the Data Science Lab in which we investigate whether data from sources such as Google, Wikipedia, Twitter, Flickr, Instagram can be used to: (1) reduce delays in measurement of human behaviour (2) measure behaviour which previously could not be measured (3) improve predictions of future behaviour.

 

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Presentation: Invited oral at Econophysics Colloquium 2017, Symposium C, by Tobias Preis
See On-line Journal of Econophysics Colloquium 2017

Submitted: 2017-04-13 17:48
Revised:   2017-04-13 18:45