which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Discovering critical nodes in social networks has many important applications. For finding out the critical nodes and considering the widespread community structure in social networks, we obtain each node’s marginal contribution by Owen value. And then we can give a method for the solution of the critical node problem. We validate the feasibility and effectiveness of our method on two synthetic datasets and six real datasets. At the same time, the result obtained by using our method to analyze the terrorist network is in line with the actual situation. 1
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
We review the main results from the literature on the consequences of link and node removal in real ...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
In this paper, we investigate the popular centrality-based approaches to find a set of critical node...
This paper categories and compares various works done in the field of social networking for covert n...
This paper categories and compares various works done in the field of social networking for covert n...
Social network analysis has been used for quite some time to analyze and understand the behavior of ...
The identification of Critical Nodes in technological, biological and social networks is a fundament...
available at the end of the article *Equal contributor From many datasets gathered in online social ...
How can we mitigate the unwanted diffusion of information in a social network? In this work we look ...
Abstract — The advisory feasibility of Social Network Analysis (SNA) to study social networks have e...
Abstract: Analysis of social networks concern with the communication among users by using them as no...
Betweenness centrality refers to the measure of a node’s influence on the transfer of items within a...
Social networks have become increasingly more available the past decade, mainly because of huge onli...
Due to the emergence of powerful global terrorist organizations such as Al Qaeda and ISIS over the l...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
We review the main results from the literature on the consequences of link and node removal in real ...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
In this paper, we investigate the popular centrality-based approaches to find a set of critical node...
This paper categories and compares various works done in the field of social networking for covert n...
This paper categories and compares various works done in the field of social networking for covert n...
Social network analysis has been used for quite some time to analyze and understand the behavior of ...
The identification of Critical Nodes in technological, biological and social networks is a fundament...
available at the end of the article *Equal contributor From many datasets gathered in online social ...
How can we mitigate the unwanted diffusion of information in a social network? In this work we look ...
Abstract — The advisory feasibility of Social Network Analysis (SNA) to study social networks have e...
Abstract: Analysis of social networks concern with the communication among users by using them as no...
Betweenness centrality refers to the measure of a node’s influence on the transfer of items within a...
Social networks have become increasingly more available the past decade, mainly because of huge onli...
Due to the emergence of powerful global terrorist organizations such as Al Qaeda and ISIS over the l...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...
We review the main results from the literature on the consequences of link and node removal in real ...
Social network analysis is a cross-disciplinary study of interest to mathematicians, physicists, com...