Add to ORKGNetworks have been studied mainly by statistical methods which emphasize their topological structure. Here, one collects some mathematical tools and results which might be useful to study both the dynamics of agents living on the network and the networks themselves as evolving dynamical systems. They include decomposition of differential dynamics, ergodic techniques, estimates of invariant measures, construction of non deterministic automata, logical approaches
This book bridges the gap between advances in the communities of computer science and physics--namel...
Abstract. In this article we give an in depth overview of the recent advances in the field of equili...
Networks of dynamical systems are common models for many problems in physics, engineering, chemistry...
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
This paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such ...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
The network theory succeeded to apply the mathematical results of graph theory to describe the compl...
The book integrates agent-based modeling and network science. It is divided into three parts, namely...
The volume, devoted to recent contributions to the field of networks modelling, offers a wide panora...
This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodol...
In recent years a large body of research has investigated the dynamics of complex networks, includin...
This chapter discusses the interplay between structure and dynamics in complex networks. Given a par...
A novel Markovian network evolution model is introduced and analysed by means of information theory....
Network control theory provides a plethora of tools to analyze the behavior of dynamical processes t...
Network control theory provides a plethora of tools to analyze the behavior of dynamical processes t...
This book bridges the gap between advances in the communities of computer science and physics--namel...
Abstract. In this article we give an in depth overview of the recent advances in the field of equili...
Networks of dynamical systems are common models for many problems in physics, engineering, chemistry...
Interest in network analysis has grown in recent years. Many social, economic and financial systems ...
This paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such ...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
The network theory succeeded to apply the mathematical results of graph theory to describe the compl...
The book integrates agent-based modeling and network science. It is divided into three parts, namely...
The volume, devoted to recent contributions to the field of networks modelling, offers a wide panora...
This volume is a tutorial for the study of dynamical systems on networks. It discusses both methodol...
In recent years a large body of research has investigated the dynamics of complex networks, includin...
This chapter discusses the interplay between structure and dynamics in complex networks. Given a par...
A novel Markovian network evolution model is introduced and analysed by means of information theory....
Network control theory provides a plethora of tools to analyze the behavior of dynamical processes t...
Network control theory provides a plethora of tools to analyze the behavior of dynamical processes t...
This book bridges the gap between advances in the communities of computer science and physics--namel...
Abstract. In this article we give an in depth overview of the recent advances in the field of equili...
Networks of dynamical systems are common models for many problems in physics, engineering, chemistry...