| Complex dynamics of our economic life on different scales: insights from search engine query data. | |
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MedLine Citation:
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PMID: 21078644 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
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Search engine query data deliver insight into the behaviour of individuals who are the smallest possible scale of our economic life. Individuals are submitting several hundred million search engine queries around the world each day. We study weekly search volume data for various search terms from 2004 to 2010 that are offered by the search engine Google for scientific use, providing information about our economic life on an aggregated collective level. We ask the question whether there is a link between search volume data and financial market fluctuations on a weekly time scale. Both collective 'swarm intelligence' of Internet users and the group of financial market participants can be regarded as a complex system of many interacting subunits that react quickly to external changes. We find clear evidence that weekly transaction volumes of S&P 500 companies are correlated with weekly search volume of corresponding company names. Furthermore, we apply a recently introduced method for quantifying complex correlations in time series with which we find a clear tendency that search volume time series and transaction volume time series show recurring patterns. |
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Authors:
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Tobias Preis; Daniel Reith; H Eugene Stanley |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Volume: 368 ISSN: 1364-503X ISO Abbreviation: Philos Trans A Math Phys Eng Sci Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-16 Completed Date: 2011-01-13 Revised Date: 2013-04-24 |
Medline Journal Info:
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Nlm Unique ID: 101133385 Medline TA: Philos Trans A Math Phys Eng Sci Country: England |
Other Details:
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Languages: eng Pagination: 5707-19 Citation Subset: - |
Affiliation:
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Center for Polymer Studies, Department of Physics, 590 Commonwealth Avenue, Boston, MA 02215, USA. mail@tobiaspreis.de |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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