Abstract
This brief proposes a novel approach to exploring random drift processes on complex dynamical networks. This approach uses characteristics of the influence model in order to provide a unified analytically tractable framework for analysis of random drift on networks. Based on this approach, the fixation probability, which is a key quantity characterizing random drift, is obtained for three kinds of state-updating dynamics, including the birth–death, death–birth, and link selection updating rules for the first time. The results lay out a clear understanding on how the dynamical structure affects the fixation of mutant on networks under random drift.
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 callMore From: IEEE Transactions on Circuits and Systems II: Express Briefs
Disclaimer: 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.
