About this Research Topic
Networks of dynamical systems are complex systems that are ubiquitous in nature and have a wide range of applications in various fields. These networks can represent systems of interacting particles, neurons in the brain, species in ecological systems, or even social and economic interactions between individuals. The study of networks of dynamical systems focuses on understanding the interplay between the dynamics of the individual systems and the topology of the network they are embedded in.
This topic aims to investigate the dynamics of complex networks of dynamical systems, with a specific focus on identifying the structural mechanisms underlying their specific functions. These functions include but are not limited to fundamental functions commonly found in physiological or biological systems, such as functional robustness, sustainability, evolvability, adaptivity and diversity. The objective is to develop novel theoretical and computational approaches for modeling and analyzing such systems, with the ultimate goal of providing insight into the behavior of complex systems more broadly.
The topic first involves developing mathematical models to characterize the dynamics of networks consisting of interacting systems with different functions. The models developed need not capture the intricate details of real-world systems, as they can be relatively universal and simplified in nature. Instead, the focus will be on constructing coarse-grained models that can capture the core dynamics of the systems while still being computationally manageable.
The topic then involves analyzing the behavior of the developed models, exploring different factors that affect the functions of the systems. These factors may include the dynamic properties of the systems, the patterns of interaction between individuals, or the underlying driving mechanisms. This will involve studying the role of network topology, the strength of the interactions between the systems, and the presence of noise or external forcing.
The topic should also involve applying the developed models to real-world systems in various fields, such as physiology, systems biology, neuroscience and ecology. This will enable us to gain insights into the mechanisms driving the behavior of these systems and identify potential strategies for controlling or manipulating them.
Research submissions may cover all of the content areas mentioned above or may prioritize a specific subset of the topics. Overall, this project aims to contribute to our understanding of the fundamental principles governing the behavior of complex networks of dynamical systems and to develop new tools for analyzing and controlling these systems.
This topic aims to investigate the dynamics of complex networks of dynamical systems, with a specific focus on identifying the structural mechanisms underlying their specific functions. These functions include but are not limited to fundamental functions commonly found in physiological or biological systems, such as functional robustness, sustainability, evolvability, adaptivity and diversity. The objective is to develop novel theoretical and computational approaches for modeling and analyzing such systems, with the ultimate goal of providing insight into the behavior of complex systems more broadly.
The topic first involves developing mathematical models to characterize the dynamics of networks consisting of interacting systems with different functions. The models developed need not capture the intricate details of real-world systems, as they can be relatively universal and simplified in nature. Instead, the focus will be on constructing coarse-grained models that can capture the core dynamics of the systems while still being computationally manageable.
The topic then involves analyzing the behavior of the developed models, exploring different factors that affect the functions of the systems. These factors may include the dynamic properties of the systems, the patterns of interaction between individuals, or the underlying driving mechanisms. This will involve studying the role of network topology, the strength of the interactions between the systems, and the presence of noise or external forcing.
The topic should also involve applying the developed models to real-world systems in various fields, such as physiology, systems biology, neuroscience and ecology. This will enable us to gain insights into the mechanisms driving the behavior of these systems and identify potential strategies for controlling or manipulating them.
Research submissions may cover all of the content areas mentioned above or may prioritize a specific subset of the topics. Overall, this project aims to contribute to our understanding of the fundamental principles governing the behavior of complex networks of dynamical systems and to develop new tools for analyzing and controlling these systems.
Keywords: Complex networks, dynamical systems, structure, function, applications, network topology, dynamics, mathematical models, network physiology
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
