Sep 5, 2010 · It is used to identify key elements within networks and to rank network elements such that experiments can be tailored to interesting candidates ...
This paper presents a new centrality measure that characterizes the contribution of each node to its assigned community in a network, called modularity ...
It is used to identify key elements within networks and to rank network elements such that experiments can be tailored to interesting candidates. In this paper, ...
Based on the eigenvectors belonging to the largest eigenvalue of kernel matrix, we present a new structure centrality measure, called modularity density ...
Centrality analysis has been shown to be a valuable method for the structural analysis of complex networks. It is used to identify key elements within ...
A centrality measure based on spectral optimization of modularity density. https://doi.org/10.1007/s11432-010-4043-4. Journal: Science China Information ...
Parallel computation of hierarchical closeness centrality and applications · A centrality measure based on spectral optimization of modularity density. Citing ...
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The modularity density centrality (CK) defined to be equal to the magnitudes of the elements of the first leading eigenvector belonging to the largest ...
In this paper, a kind of measure of structural centrality for networks, called modularity centrality, is introduced. This centrality index is based on the ...
Fu L., Gao L., Ma X., 2010. A centrality measure based on spectral optimization of modularity density. Science in China, Series F: Information Sciences, 53 ...