Literature DB >> 24572233

Using big data to predict collective behavior in the real world.

Helen Susannah Moat1, Tobias Preis2, Christopher Y Olivola3, Chengwei Liu2, Nick Chater2.   

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.

Mesh:

Year:  2014        PMID: 24572233     DOI: 10.1017/S0140525X13001817

Source DB:  PubMed          Journal:  Behav Brain Sci        ISSN: 0140-525X            Impact factor:   12.579


  25 in total

1.  Quantifying the semantics of search behavior before stock market moves.

Authors:  Chester Curme; Tobias Preis; H Eugene Stanley; Helen Susannah Moat
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-28       Impact factor: 11.205

2.  Who tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-data.

Authors:  Luke Sloan; Jeffrey Morgan; Pete Burnap; Matthew Williams
Journal:  PLoS One       Date:  2015-03-02       Impact factor: 3.240

3.  Quantifying International Travel Flows Using Flickr.

Authors:  Daniele Barchiesi; Helen Susannah Moat; Christian Alis; Steven Bishop; Tobias Preis
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

4.  The advantage of short paper titles.

Authors:  Adrian Letchford; Helen Susannah Moat; Tobias Preis
Journal:  R Soc Open Sci       Date:  2015-08-26       Impact factor: 2.963

5.  Quantifying crowd size with mobile phone and Twitter data.

Authors:  Federico Botta; Helen Susannah Moat; Tobias Preis
Journal:  R Soc Open Sci       Date:  2015-05-27       Impact factor: 2.963

6.  Adaptive nowcasting of influenza outbreaks using Google searches.

Authors:  Tobias Preis; Helen Susannah Moat
Journal:  R Soc Open Sci       Date:  2014-10-29       Impact factor: 2.963

7.  Quantifying Stock Return Distributions in Financial Markets.

Authors:  Federico Botta; Helen Susannah Moat; H Eugene Stanley; Tobias Preis
Journal:  PLoS One       Date:  2015-09-01       Impact factor: 3.240

8.  Modelling human mobility patterns using photographic data shared online.

Authors:  Daniele Barchiesi; Tobias Preis; Steven Bishop; Helen Susannah Moat
Journal:  R Soc Open Sci       Date:  2015-08-12       Impact factor: 2.963

9.  Who Tweets with Their Location? Understanding the Relationship between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter.

Authors:  Luke Sloan; Jeffrey Morgan
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

10.  Characterizing the time-perspective of nations with search engine query data.

Authors:  Takao Noguchi; Neil Stewart; Christopher Y Olivola; Helen Susannah Moat; Tobias Preis
Journal:  PLoS One       Date:  2014-04-15       Impact factor: 3.240

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