Dynamics of Ranking Processes in Complex Systems

The world is addicted to ranking: everything, from the reputation of scientists, journals, and universities to purchasing decisions is driven by measured or perceived differences between them. Here, we analyze empirical data capturing real time ranking in a number of systems, helping to identify the...

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Bibliographic Details
Main Authors: Ghoshal, Gourab (Contributor), Blumm, Nicholas (Author), Forro, Zalan (Author), Schich, Maximilian (Author), Bianconi, Ginestra (Author), Bouchaud, Jean-Philippe (Author), Barabasi, Albert-Laszlo (Author)
Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor)
Format: Article
Language:English
Published: American Physical Society, 2013-01-09T17:34:14Z.
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Online Access:Get fulltext
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700 1 0 |a Schich, Maximilian  |e author 
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520 |a The world is addicted to ranking: everything, from the reputation of scientists, journals, and universities to purchasing decisions is driven by measured or perceived differences between them. Here, we analyze empirical data capturing real time ranking in a number of systems, helping to identify the universal characteristics of ranking dynamics. We develop a continuum theory that not only predicts the stability of the ranking process, but shows that a noise-induced phase transition is at the heart of the observed differences in ranking regimes. The key parameters of the continuum theory can be explicitly measured from data, allowing us to predict and experimentally document the existence of three phases that govern ranking stability. 
546 |a en_US 
655 7 |a Article 
773 |t Physical Review Letters