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2012 Approximations of the Generalized Inverse of the Graph Laplacian Matrix
Enrico Bozzo, Massimo Franceschet
Internet Math. 8(4): 456-481 (2012).


We devise methods for finding approximations of the generalized inverse of the graph Laplacian matrix, which arises in many graph-theoretic applications. Finding this matrix in its entirety involves solving a matrix inversion problem, which is resourcedemanding in terms of consumed time and memory and hence impractical whenever the graph is relatively large. Our approximations use only a few eigenpairs of the Laplacian matrix and are parametric with respect to this number, so that the user can compromise between effectiveness and efficiency of the approximate solution. We apply the devised approximations to the problem of computing current-flow betweenness centrality on a graph. However, given the generality of the Laplacian matrix, many other applications can be sought. We experimentally demonstrate that the approximations are effective already with a constant number of eigenpairs. These few eigenpairs can be stored with a linear amount of memory in the number of nodes of the graph, and in the realistic case of sparse networks, they can be efficiently computed using one of the many methods for retrieving a few eigenpairs of sparse matrices that abound in the literature.


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Enrico Bozzo. Massimo Franceschet. "Approximations of the Generalized Inverse of the Graph Laplacian Matrix." Internet Math. 8 (4) 456 - 481, 2012.


Published: 2012
First available in Project Euclid: 6 December 2012

zbMATH: 1258.05068
MathSciNet: MR3010003

Rights: Copyright © 2012 A K Peters, Ltd.


Vol.8 • No. 4 • 2012
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