This thesis focuses on the topological characterization of complex networks. It specifically focuses on those elementary graph measures that are of interest when quantifying topology-related aspects of the robustness of complex networks. This thesis makes the following contributions to the field of complex networks. Firstly, the thesis analyses the relationships among a variety of graph measures and proposes a definite set, capable of expressing the most relevant topological properties of complex networks. Secondly, the thesis relies on spectral measures to initiate a classification of the qualitative topological properties that characterize specific classes of complex networks. Thirdly, the thesis illustrates the use of spectral measures i...
The infrastructure networks, including the Internet, telecommunication networks, electrical power gr...
Research on the robustness of networks, and in particular the Internet, has gained critical importan...
Efficient robustness and fault tolerance of complex network is significantly influenced by its conne...
This thesis focuses on the topological characterization of complex networks. It specifically focuses...
Network robustness research aims at finding a measure to quantify network robustness. Once such a me...
Measuring robustness is a fundamental task for analysing the structure of complex networks. Indeed, ...
Measuring robustness is a fundamental task for analysing the structure of complex networks. Indeed,...
In this paper, we explore the relationship between the topological characteristics of a complex netw...
The robustness of a complex network measures its ability to withstand random or targeted attacks. Mo...
Improving robustness of complex networks is a challenge in several application domains, su...
Our society depends more strongly than ever on large networks such as transportation networks, the I...
Our society depends more strongly than ever on large networks such as transportation networks, the I...
<div><p>Network robustness is the ability of a network to maintain performance after disruption, thu...
Specially over the last ten years, societies depend more strongly than ever on networked and communi...
The infrastructure networks, including the Internet, telecommunication networks, electrical power gr...
The infrastructure networks, including the Internet, telecommunication networks, electrical power gr...
Research on the robustness of networks, and in particular the Internet, has gained critical importan...
Efficient robustness and fault tolerance of complex network is significantly influenced by its conne...
This thesis focuses on the topological characterization of complex networks. It specifically focuses...
Network robustness research aims at finding a measure to quantify network robustness. Once such a me...
Measuring robustness is a fundamental task for analysing the structure of complex networks. Indeed, ...
Measuring robustness is a fundamental task for analysing the structure of complex networks. Indeed,...
In this paper, we explore the relationship between the topological characteristics of a complex netw...
The robustness of a complex network measures its ability to withstand random or targeted attacks. Mo...
Improving robustness of complex networks is a challenge in several application domains, su...
Our society depends more strongly than ever on large networks such as transportation networks, the I...
Our society depends more strongly than ever on large networks such as transportation networks, the I...
<div><p>Network robustness is the ability of a network to maintain performance after disruption, thu...
Specially over the last ten years, societies depend more strongly than ever on networked and communi...
The infrastructure networks, including the Internet, telecommunication networks, electrical power gr...
The infrastructure networks, including the Internet, telecommunication networks, electrical power gr...
Research on the robustness of networks, and in particular the Internet, has gained critical importan...
Efficient robustness and fault tolerance of complex network is significantly influenced by its conne...