In the last decade the network approach has been applied, with exceptional success, to describe complex dynamical systems in diverse areas of science including physics, earth and climate sciences, sociology, quantitative finance, biology, and neurosciences.
In many of the natural and man-made networks the networks' vertices
represent elementary units of the system whereas edges represent some form of interaction or coupling between pairs of vertices. There is a vast multitude of different concepts and a growing number of metrics to characterize the role of network vertices regarding a networks structure and dynamics. Yet, only few approaches focus on the interactions between vertices, edges, and their potential role and influence in the network.
Vertex-centric approaches already have been a major component in identifying critical or vital parts of a complex dynamical system, aiding in optimizing, altering or stopping spreading phenomena, determining and modifying robustness properties, as well as understanding and performing network perturbations. An improved characterization of networks' edges and edge-centric approaches to investigate interaction networks can further add to advance understanding and control of complex networks. The goal of this Research Topic is to move beyond the study of network aspects on various scales, hereby focusing solely on vertex specific properties, and to take into account the more fundamental nature of networks' edges.
We welcome Original Research, Methods, Technology & Code articles as well as Review articles, that focus on edge-centric approaches aiming to aid in describing and understanding a vast range of natural, socioeconomic or technological complex dynamical systems
Due to the broad and quite general nature of this topic, we encourage relevant contributions from a variety of fields.
Topics of interest include but are not limited to:
- Assessing the role of edges in the network
- Identifying important edges
- Identifying critical path-structures
- The impact of edge-based network perturbations
- Edge-based techniques to control complex dynamics or spreading phenomena
- Characterize spatial and temporal aspects of complex networks derived from dynamical systems
- Growing and sparsing networks
Overall, this research topic aims to contribute to our understanding of the fundamental principles governing the behavior of complex networked dynamical systems and to develop new tools for analyzing and controlling these systems.
Keywords:
complex networks, brain, structure-function relationship, nodes and links, vertices and edges, centrality, interactions, dynmacial systems, nonlinear dynamics, data analysis, modelling, 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.
In the last decade the network approach has been applied, with exceptional success, to describe complex dynamical systems in diverse areas of science including physics, earth and climate sciences, sociology, quantitative finance, biology, and neurosciences.
In many of the natural and man-made networks the networks' vertices
represent elementary units of the system whereas edges represent some form of interaction or coupling between pairs of vertices. There is a vast multitude of different concepts and a growing number of metrics to characterize the role of network vertices regarding a networks structure and dynamics. Yet, only few approaches focus on the interactions between vertices, edges, and their potential role and influence in the network.
Vertex-centric approaches already have been a major component in identifying critical or vital parts of a complex dynamical system, aiding in optimizing, altering or stopping spreading phenomena, determining and modifying robustness properties, as well as understanding and performing network perturbations. An improved characterization of networks' edges and edge-centric approaches to investigate interaction networks can further add to advance understanding and control of complex networks. The goal of this Research Topic is to move beyond the study of network aspects on various scales, hereby focusing solely on vertex specific properties, and to take into account the more fundamental nature of networks' edges.
We welcome Original Research, Methods, Technology & Code articles as well as Review articles, that focus on edge-centric approaches aiming to aid in describing and understanding a vast range of natural, socioeconomic or technological complex dynamical systems
Due to the broad and quite general nature of this topic, we encourage relevant contributions from a variety of fields.
Topics of interest include but are not limited to:
- Assessing the role of edges in the network
- Identifying important edges
- Identifying critical path-structures
- The impact of edge-based network perturbations
- Edge-based techniques to control complex dynamics or spreading phenomena
- Characterize spatial and temporal aspects of complex networks derived from dynamical systems
- Growing and sparsing networks
Overall, this research topic aims to contribute to our understanding of the fundamental principles governing the behavior of complex networked dynamical systems and to develop new tools for analyzing and controlling these systems.
Keywords:
complex networks, brain, structure-function relationship, nodes and links, vertices and edges, centrality, interactions, dynmacial systems, nonlinear dynamics, data analysis, modelling, 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.