Literature DB >> 14753972

Fluctuations in network dynamics.

M Argollo de Menezes1, A-L Barabási.   

Abstract

Most complex networks serve as conduits for various dynamical processes, ranging from mass transfer by chemical reactions in the cell to packet transfer on the Internet. We collected data on the time dependent activity of five natural and technological networks, finding that for each the coupling of the flux fluctuations with the total flux on individual nodes obeys a unique scaling law. We show that the observed scaling can explain the competition between the system's internal collective dynamics and changes in the external environment, allowing us to predict the relevant scaling exponents.

Mesh:

Year:  2004        PMID: 14753972     DOI: 10.1103/PhysRevLett.92.028701

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  14 in total

1.  Disentangling collective trends from local dynamics.

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3.  The major transitions of life from a network perspective.

Authors:  Béla Suki
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4.  Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links.

Authors:  Jun-nosuke Teramae; Yasuhiro Tsubo; Tomoki Fukai
Journal:  Sci Rep       Date:  2012-07-02       Impact factor: 4.379

5.  Spatiotemporal patterns and predictability of cyberattacks.

Authors:  Yu-Zhong Chen; Zi-Gang Huang; Shouhuai Xu; Ying-Cheng Lai
Journal:  PLoS One       Date:  2015-05-20       Impact factor: 3.240

6.  Fluctuation scaling, Taylor's law, and crime.

Authors:  Quentin S Hanley; Suniya Khatun; Amal Yosef; Rachel-May Dyer
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

7.  Universal flux-fluctuation law in small systems.

Authors:  Zi-Gang Huang; Jia-Qi Dong; Liang Huang; Ying-Cheng Lai
Journal:  Sci Rep       Date:  2014-10-27       Impact factor: 4.379

8.  Controlling extreme events on complex networks.

Authors:  Yu-Zhong Chen; Zi-Gang Huang; Ying-Cheng Lai
Journal:  Sci Rep       Date:  2014-08-18       Impact factor: 4.379

9.  Controlling herding in minority game systems.

Authors:  Ji-Qiang Zhang; Zi-Gang Huang; Zhi-Xi Wu; Riqi Su; Ying-Cheng Lai
Journal:  Sci Rep       Date:  2016-02-17       Impact factor: 4.379

10.  Property of Fluctuations of Sales Quantities by Product Category in Convenience Stores.

Authors:  Gaku Fukunaga; Hideki Takayasu; Misako Takayasu
Journal:  PLoS One       Date:  2016-06-16       Impact factor: 3.240

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