Abstract
A network consisting of active and inactive dynamical units experiences aging transition as the number of inactive nodes in the network is increased gradually. In this work, we investigate aging transition by exploring the tenacity of network's global oscillation, implemented by considering a weighted network, while the weights are chosen randomly from a uniform distribution. We examine how the critical transition point from oscillatory to non-oscillatory dynamics changes as the width of the distribution is varied. Exact value of the parameter at which the transition occurs is derived analytically, and interestingly it is found to be dependent on the mean weight of the network. Moreover, we observe a correlation between the results for weighted and unweighted cases. The analysis is performed for both Stuart-Landau limit cycle oscillator network and chaotic Hindmarsh-Rose neuronal network organized in the framework of global (homogeneous) and scale-free (heterogeneous) architectures.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
