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Statistical Physics in the Era of Bi...

Wang, Dashun.

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Statistical Physics in the Era of Big Data.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical Physics in the Era of Big Data./
Author:	Wang, Dashun.
Description:	154 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.
Contained By:	Dissertation Abstracts International74-11B(E).
Subject:	Physics, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3568302
ISBN:	9781303225901

Statistical Physics in the Era of Big Data.
Wang, Dashun.

Statistical Physics in the Era of Big Data. - 154 p.

Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.

Thesis (Ph.D.)--Northeastern University, 2013.

This item must not be sold to any third party vendors.

With the wealth of data provided by a wide range of high-throughout measurement tools and technologies, statistical physics of complex systems is entering a new phase, impacting in a meaningful fashion a wide range of fields, from cell biology to computer science to economics. In this dissertation, by applying tools and techniques developed in statistical physics, I present some of my contributions to the emerging field of Big Data in three distinct but related settings. First, we investigate long-term predictability of scientific impact. By deriving a mechanistic model for the citation dynamics of individual papers, we demonstrate that citation histories of all papers follow the same universal temporal pattern, helping us uncover the basic mechanisms that govern scientific impact. Second, we study the contextual factors that affect information spreading processes. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic model, indicating surprising independence of context. Lastly, we study the mobility patterns and social interactions of mobile phone users, demonstrating the possibility of using the similarities between individual trajectories to predict social ties.

ISBN: 9781303225901Subjects--Topical Terms:

1018488
Physics, General.

Statistical Physics in the Era of Big Data.
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500 $a Source: Dissertation Abstracts International, Volume: 74-11(E), Section: B.
500 $a Adviser: Albert-Laszlo Barabasi.
502 $a Thesis (Ph.D.)--Northeastern University, 2013.
506 $a This item must not be sold to any third party vendors.
520 $a With the wealth of data provided by a wide range of high-throughout measurement tools and technologies, statistical physics of complex systems is entering a new phase, impacting in a meaningful fashion a wide range of fields, from cell biology to computer science to economics. In this dissertation, by applying tools and techniques developed in statistical physics, I present some of my contributions to the emerging field of Big Data in three distinct but related settings. First, we investigate long-term predictability of scientific impact. By deriving a mechanistic model for the citation dynamics of individual papers, we demonstrate that citation histories of all papers follow the same universal temporal pattern, helping us uncover the basic mechanisms that govern scientific impact. Second, we study the contextual factors that affect information spreading processes. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic model, indicating surprising independence of context. Lastly, we study the mobility patterns and social interactions of mobile phone users, demonstrating the possibility of using the similarities between individual trajectories to predict social ties.
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