Abstract
The main goal of spectral graph theory is to relate important structural properties of a graph to its eigenvalues. In this chapter, we survey some old and new applications of spectral methods in graph partitioning, ranking, and epidemic spreading in networks and clustering.
MSC2000: Primary 15A18; Secondary 68R10, 05C99
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Acknowledgments
This work is supported by a start-up grant from the Department of Mathematical Sciences at the University of Delaware. The author is grateful to the referees for their comments.
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Cioabă, S.M. (2011). Some Applications of Eigenvalues of Graphs. In: Dehmer, M. (eds) Structural Analysis of Complex Networks. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4789-6_14
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DOI: https://doi.org/10.1007/978-0-8176-4789-6_14
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