2007Unpublished venueRequires access

Spectral Graph Theory and its Applications

Daniel A. Spielman

Open publisher page 242 citations

Abstract

Spectral graph theory is the study of the eigenvalues and eigenvectors of matrices associated with graphs. In this tutorial, we will try to provide some intuition as to why these eigenvectors and eigenvalues have combinatorial significance, and will sitn'ey some of their applications.

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What this paper is about

Spectral graph theory is the study of the eigenvalues and eigenvectors of matrices associated with graphs. In this tutorial, we will try to provide some intuition as to why these eigenvectors and eigenvalues have combinatorial significance, and will sitn'ey some of their applications.

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OpenAlex reports 242 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Spectral graph theory is the study of the eigenvalues and eigenvectors of matrices associated with graphs. In this tutorial, we will try to provide some intuition as to why these eigenvectors and eigenvalues have combinatorial significance, and will sitn'ey some of their applications.

Key concepts: Eigenvalues and eigenvectors, Spectral graph theory, Intuition, Graph theory, Computer science, Graph, Mathematics, Theoretical computer science

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