Add to ORKGThis paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such framework allows the time analysis of the relationship between the dynamic laws and the network characterizing features (degree distribution, clustering coefficient, controllability indexes, etc.) providing new insight on the network properties. The framework also allows to relate and generalize existing inference procedures for modelling real world time evolving complex systems
We propose a mathematical description of a dynamic network model in which the number of links fluctu...
In recent years a large body of research has investigated the dynamics of complex networks, includin...
A basic premise behind the study of large networks is that interaction leads to complex collective b...
This paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such ...
Dynamic random network models are presented as a mathematical framework for modelling and analyzing ...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe...
The study of networks is in great focus of many branches of sci-ence. We suggest a novel approach to...
Applications such as neuroscience, telecommunication, on-line social networking, transport and retai...
International audienceDuring the last decade, the study of large scale complex networks has attracte...
<div><p>We deal here with the issue of complex network evolution. The analysis of topological evolut...
We deal here with the issue of complex network evolution. The analysis of topological evolution of c...
Abstract—a class of models is examined whose primary goal is to explain network properties, especial...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
We propose a mathematical description of a dynamic network model in which the number of links fluctu...
In recent years a large body of research has investigated the dynamics of complex networks, includin...
A basic premise behind the study of large networks is that interaction leads to complex collective b...
This paper proposes a mathematical framework for modelling the evolution of dynamic networks. Such ...
Dynamic random network models are presented as a mathematical framework for modelling and analyzing ...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
Time evolving Random Network Models are presented as a mathematical framework for modelling and anal...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe...
The study of networks is in great focus of many branches of sci-ence. We suggest a novel approach to...
Applications such as neuroscience, telecommunication, on-line social networking, transport and retai...
International audienceDuring the last decade, the study of large scale complex networks has attracte...
<div><p>We deal here with the issue of complex network evolution. The analysis of topological evolut...
We deal here with the issue of complex network evolution. The analysis of topological evolution of c...
Abstract—a class of models is examined whose primary goal is to explain network properties, especial...
The interplay between topology and dynamics in complex networks is a fundamental but widely unexplor...
We propose a mathematical description of a dynamic network model in which the number of links fluctu...
In recent years a large body of research has investigated the dynamics of complex networks, includin...
A basic premise behind the study of large networks is that interaction leads to complex collective b...