Journal of Statistical Physics

, Volume 152, Issue 3, pp 519–533 | Cite as

The Influence of Network Properties on the Synchronization of Kuramoto Oscillators Quantified by a Bayesian Regression Analysis

  • Guilherme F. de Arruda
  • Thomas Kauê Dal’Maso Peron
  • Marinho Gomes de Andrade
  • Jorge Alberto Achcar
  • Francisco Aparecido Rodrigues


The influence of the network structure on the emergence of collective dynamical behavior is an important topic of research that has not been fully understood yet. In the current work, it is shown how statistical regression analysis can be considered to address this issue. The regression model proposed suggests that the average shortest path length is the network property most influencing the degree of synchronization of Kuramoto oscillators. Moreover, this model revealed to be very accurate, being the predicted and measured values of synchronization highly correlated. Therefore, the regression modeling allows predicting the values of the dynamic variable in terms of network structure.


Complex networks Synchronization Regression analysis 



Francisco A. Rodrigues would like to acknowledge CNPq (305940/2010-4) and FAPESP (2010/19440-2) for the financial support given to this research. Jorge A. Achcar would like to acknowledge CNPq (302142/2002-9). Thomas and Guilherme thank Fapesp for sponsorship.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Guilherme F. de Arruda
    • 1
  • Thomas Kauê Dal’Maso Peron
    • 2
  • Marinho Gomes de Andrade
    • 1
  • Jorge Alberto Achcar
    • 3
  • Francisco Aparecido Rodrigues
    • 1
  1. 1.Departamento de Matemática Aplicada e Estatística, Instituto de Ciências Matemáticas e de ComputaçãoUniversidade de São PauloSão CarlosBrazil
  2. 2.Instituto de Física de São CarlosUniversidade de São PauloSão CarlosBrazil
  3. 3.Faculdade de Medicina de Ribeirão PretoUniversidade de São PauloSão PauloBrazil

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