Journal article

On eigenvalues of Laplacian matrix for a class of directed signed graphs

S Ahmadizadeh, I Shames, S Martin, D Nešić

Linear Algebra and Its Applications | ELSEVIER SCIENCE INC | Published : 2017

Abstract

The eigenvalues of the Laplacian matrix for a class of directed graphs with both positive and negative weights are studied. The Laplacian matrix naturally arises in a wide range of applications involving networks. First, a class of directed signed graphs is studied in which one pair of nodes (either connected or not) is perturbed with negative weights. A necessary and sufficient condition is proposed to attain the following objective for the perturbed graph: the real parts of the non-zero eigenvalues of its Laplacian matrix are positive. Under certain assumption on the unperturbed graph, it is established that the objective is achieved if and only if the magnitudes of the added negative weig..

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