Access count of this item: 135

Files in This Item:
File Description SizeFormat 
PhysRevE.91.012908.pdf1.76 MBAdobe PDFView/Open
Title: Self-organization of complex networks as a dynamical system
Authors: Aoki, Takaaki
Yawata, Koichiro
Aoyagi, Toshio  kyouindb  KAKEN_id
Author's alias: 青柳, 富誌生
Issue Date: 12-Jan-2015
Publisher: American Physical Society
Journal title: Physical review. E, Statistical, nonlinear, and soft matter physics
Volume: 91
Issue: 1
Thesis number: 012908
Abstract: To understand the dynamics of real-world networks, we investigate a mathematical model of the interplay between the dynamics of random walkers on a weighted network and the link weights driven by a resource carried by the walkers. Our numerical studies reveal that, under suitable conditions, the co-evolving dynamics lead to the emergence of stationary power-law distributions of the resource and link weights, while the resource quantity at each node ceaselessly changes with time. We analyze the network organization as a deterministic dynamical system and find that the system exhibits multistability, with numerous fixed points, limit cycles, and chaotic states. The chaotic behavior of the system leads to the continual changes in the microscopic network dynamics in the absence of any external random noises. We conclude that the intrinsic interplay between the states of the nodes and network reformation constitutes a major factor in the vicissitudes of real-world networks.
Rights: ©2015 American Physical Society
URI: http://hdl.handle.net/2433/201831
DOI(Published Version): 10.1103/PhysRevE.91.012908
PubMed ID: 25679683
Appears in Collections:Journal Articles

Show full item record

Export to RefWorks


Export Format: 


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.