We study spreading dynamics of a reaction–diffusion process in a special class of heterogeneous graphs with Poissonian degree distribution and composed of both local and long range links. The behavior of the spreading dynamics on such networks are investigated by relating them to the topological features of graphs. We find that the degree of assortativity can give just some indication about the large scale behavior of the spreading dynamics while a detailed description of the process can be addressed by introducing new, more appropriate, topological quantities linked to the distance between nodes
Networks arise frequently in the study of complex systems, since interactions among the components o...
Everyday, ideas, information as well as viruses spread over complex social tissues described by our ...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...
We study reaction-diffusion processes on graphs through an extension of the standard reaction-diffus...
In this thesis we explore how the structure of a network impacts upon spreading behaviours on that n...
The interactions between people, technology and modern communication paradigms form large and comple...
Abstract. Spreading on networks is influenced by a number of factors including different parts of th...
Dynamical properties of diffusion process on complex networks with arbitrary degree distribution are...
Topological characteristics of links of complex networks influence the dynamical processes executed ...
Spreading on networks is influenced by a number of factors, including different parts of the inter-e...
Despite the success of traditional network analysis, standard networks provide a limited representat...
Abstract We focus on spatially-extended networks during their transition from short-range connectivi...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
Dynamical reaction–diffusion processes and metapopulation models are standard modelling approaches f...
Potential diffusion processes of real-world systems are relevant to the underlying network structure...
Networks arise frequently in the study of complex systems, since interactions among the components o...
Everyday, ideas, information as well as viruses spread over complex social tissues described by our ...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...
We study reaction-diffusion processes on graphs through an extension of the standard reaction-diffus...
In this thesis we explore how the structure of a network impacts upon spreading behaviours on that n...
The interactions between people, technology and modern communication paradigms form large and comple...
Abstract. Spreading on networks is influenced by a number of factors including different parts of th...
Dynamical properties of diffusion process on complex networks with arbitrary degree distribution are...
Topological characteristics of links of complex networks influence the dynamical processes executed ...
Spreading on networks is influenced by a number of factors, including different parts of the inter-e...
Despite the success of traditional network analysis, standard networks provide a limited representat...
Abstract We focus on spatially-extended networks during their transition from short-range connectivi...
Networks have become a general concept to model the structure of arbitrary relationships among entit...
Dynamical reaction–diffusion processes and metapopulation models are standard modelling approaches f...
Potential diffusion processes of real-world systems are relevant to the underlying network structure...
Networks arise frequently in the study of complex systems, since interactions among the components o...
Everyday, ideas, information as well as viruses spread over complex social tissues described by our ...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...