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Spectral Analysis

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Book cover Network Analysis

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3418))

Abstract

A graph can be associated with several matrices, whose eigenvalues reflect structural properties of the graph. The adjacency matrix, the Laplacian, and the normalized Laplacian are in the main focus of spectral studies. How can the spectrum be used to analyze a graph?

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Author information

Authors and Affiliations

  1. Mathematisches Seminar, University of Kiel, Christian-Albrechts-Platz 4, 24118, Kiel, Germany

    Andreas Baltz & Lasse Kliemann

Authors
  1. Andreas Baltz
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  2. Lasse Kliemann
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Editor information

Editors and Affiliations

  1. Department of Computer & Information Science, University of Konstanz,  

    Ulrik Brandes

  2. Department of Computer Science, University of Leicester, University Road, LE1 7RH, Leicester, UK

    Thomas Erlebach

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© 2005 Springer-Verlag Berlin Heidelberg

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Baltz, A., Kliemann, L. (2005). Spectral Analysis. In: Brandes, U., Erlebach, T. (eds) Network Analysis. Lecture Notes in Computer Science, vol 3418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31955-9_14

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  • DOI: https://doi.org/10.1007/978-3-540-31955-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24979-5

  • Online ISBN: 978-3-540-31955-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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