|| Special Issue || Collective Behaviors in Networks of Dynamical Systems

 

 

 

Deadline for Submissions: 31 December 2023

 

 

 

Special Issue Editors

 

 

 

Guest Editor

Dr. Sayantan Nag Chowdhury

E-mail

Website

 

 

Affiliation

Department of Environmental Science & Policy, University of California, Davis, USA

 

Interests

Complex Systems; Hidden Attractors; Cooperation; Nonlinear Dynamics; Temporal Networks

 

 

 

Guest Editor

Dr. Srilena Kundu

E-mail

Website

 

 

Affiliation

Department of Ecology and Evolution, University of Chicago, Chicago, USA

 

Interests

Nonlinear Dynamics; Complex Networks; Network Robustness; Ecological Network; Ecology and Evolution

 

 

 

Special Issue Information

 

 

 

Dynamical systems serve as the paradigm of almost all natural sciences; they have significant importance in modeling various aspects of physics, chemistry, ecology, population biology, economy, neuroscience, etc. The most effective way for a deeper understanding of the self-organized phenomenon observed in nature is to represent a wide ensemble of coupled dynamical systems under the framework of network topology. Depending on the characteristics of the dynamical entities and the interactions among themselves, different collective behaviors may emerge that are capable of imitating various complex scenarios found in nature. We propose this special issue on collective behaviors in networks of dynamical systems to gain new insights and highlight the recent developments in the field of complex systems research. This special issue will be focusing on a number of broad topics (including, but not limited to) as listed below:

  • stability-instability of large complex systems,
  • the synchronization-desynchronization pattern of the time-invariant and time-varying networks,
  • dynamical and structural resilience of networks,
  • spatiotemporal pattern of coupled dynamical systems,
  • spreading of information/disease in a network,
  • the collective dynamics and equilibrium states due to the interplay between the positive and negative interactions,
  • Predicting extreme events in dynamical systems based on the mechanisms underlying their emergence and occurrence, 
  • Integrating coupled dynamical systems with the evolutionary game theory to understand the evolution of cooperation in society,
  • A higher-order interaction resulted in non-trivial dynamical states over a pairwise interaction.

 

 

 

 

Published Papers

 

 

 

This special issue is now open for submission.