The functionalities, such as connectivity and communication capability of complex networks, are related to the number and length of paths between node pairs in the networks. In this paper, we propose a new path connectivity measure by considering the number and length of paths of the network (PCNL) to evaluate network path connectivity. By comparing the PCNL with the typical natural connectivity, we prove the effectiveness of the PCNL to measure the path connectivity of networks. Because of the importance of the shortest paths, we further propose the shortest paths connectivity measure (SPCNL) based on the number and length of the shortest paths. Then, we use edge-betweenness-based malicious attacks to study the relationship between the SPC...
Betweenness is a measure of the centrality of a node in a network, and is normally calculated as the...
VK: Saramäki, J.; TritonThis paper introduces two new closely related betweenness centrality measure...
The structure of social networks strongly affects how different phenomena spread in human society, f...
This article focuses on the identification of the number of paths with different lengths between pai...
Considerable effort has been devoted to the study of network structures and connectivity patterns an...
Existing parameters that measure the connectivity of elements in landscape networks are dependent up...
Existing parameters that measure the connectivity of elements in landscape networks are dependent up...
Vulnerability is an important concept in network analysis. When a failure occurs in some of the comp...
Quantitatively assessing the importance or criticality of each link in a network is of practical val...
Centrality indices are an important tool in network analysis, and many of them are derived from the ...
Identifying node importance in complex networks is of great significance to improve the network dama...
Links play a significant role in the functioning of a complex network. The aim of this thesis is to ...
Networks, which are gaining much popularity in various disciplines, model connec-tions between diffe...
The properties found in complex networks (e.g., small-world, scale-free) have been used to character...
###EgeUn###The concept of Vulnerability is an important field of study of Graph Theory. Some measure...
Betweenness is a measure of the centrality of a node in a network, and is normally calculated as the...
VK: Saramäki, J.; TritonThis paper introduces two new closely related betweenness centrality measure...
The structure of social networks strongly affects how different phenomena spread in human society, f...
This article focuses on the identification of the number of paths with different lengths between pai...
Considerable effort has been devoted to the study of network structures and connectivity patterns an...
Existing parameters that measure the connectivity of elements in landscape networks are dependent up...
Existing parameters that measure the connectivity of elements in landscape networks are dependent up...
Vulnerability is an important concept in network analysis. When a failure occurs in some of the comp...
Quantitatively assessing the importance or criticality of each link in a network is of practical val...
Centrality indices are an important tool in network analysis, and many of them are derived from the ...
Identifying node importance in complex networks is of great significance to improve the network dama...
Links play a significant role in the functioning of a complex network. The aim of this thesis is to ...
Networks, which are gaining much popularity in various disciplines, model connec-tions between diffe...
The properties found in complex networks (e.g., small-world, scale-free) have been used to character...
###EgeUn###The concept of Vulnerability is an important field of study of Graph Theory. Some measure...
Betweenness is a measure of the centrality of a node in a network, and is normally calculated as the...
VK: Saramäki, J.; TritonThis paper introduces two new closely related betweenness centrality measure...
The structure of social networks strongly affects how different phenomena spread in human society, f...