AbstractTo solve the problem of node importance evaluation in complex networks, an improved method of node contraction based on agglomeration is presented. To start with, methods to evaluate the node importance in complex networks are analyzed. And secondly, evaluation of edge importance is introduced on the basis of method of node contraction. Node importance is defined as weighted sum of importance of node itself and edges that connected with node. Improved method to evaluate node importance considers the connection character of the node, and moreover, by regulating the coefficient, we can adjust the influence of edge on node importance. Finally, an illustrative example verifies the feasibility and validity of the improved method
Abstract In complex networks, key nodes are important factors that directly affect network structure...
The stability and robustness of a complex network can be significantly improved by determining impor...
It is a classic topic of social network analysis to evaluate the importance of nodes and identify th...
The identification of node importance in complex networks is of theoretical and practical significan...
Evaluating the importance of nodes for complex networks is an important part of invulnerability rese...
AbstractEvaluating the importance of nodes for complex networks is of great significance to the rese...
The problem of node importance in a general controlled complex network is investigated in this brief...
Identifying node importance in complex networks is of great significance to improve the network dama...
Crucial nodes in a network refer to those nodes that their existence is so important in preserving t...
Relatively important node mining has always been an essential research topic in complex networks. Ex...
The heterogeneous nature of a complex network determines the roles of each node in the network that ...
© 2017, © Emerald Publishing Limited. Purpose: This study aims to review the literature on graph-the...
Identifying influential edges in a complex network is a fundamental topic with a variety of applicat...
Compressing the data of a complex network is important for visualization. Based on the triangle-subg...
In recent years, the identification of the essential nodes in complex networks has attracted signifi...
Abstract In complex networks, key nodes are important factors that directly affect network structure...
The stability and robustness of a complex network can be significantly improved by determining impor...
It is a classic topic of social network analysis to evaluate the importance of nodes and identify th...
The identification of node importance in complex networks is of theoretical and practical significan...
Evaluating the importance of nodes for complex networks is an important part of invulnerability rese...
AbstractEvaluating the importance of nodes for complex networks is of great significance to the rese...
The problem of node importance in a general controlled complex network is investigated in this brief...
Identifying node importance in complex networks is of great significance to improve the network dama...
Crucial nodes in a network refer to those nodes that their existence is so important in preserving t...
Relatively important node mining has always been an essential research topic in complex networks. Ex...
The heterogeneous nature of a complex network determines the roles of each node in the network that ...
© 2017, © Emerald Publishing Limited. Purpose: This study aims to review the literature on graph-the...
Identifying influential edges in a complex network is a fundamental topic with a variety of applicat...
Compressing the data of a complex network is important for visualization. Based on the triangle-subg...
In recent years, the identification of the essential nodes in complex networks has attracted signifi...
Abstract In complex networks, key nodes are important factors that directly affect network structure...
The stability and robustness of a complex network can be significantly improved by determining impor...
It is a classic topic of social network analysis to evaluate the importance of nodes and identify th...