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. © 2011 Springer Science+Business Media, LLC.
CITATION STYLE
Cioabǎ, S. M. (2011). Some applications of eigenvalues of graphs. In Structural Analysis of Complex Networks (pp. 357–379). Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4789-6_14
Mendeley helps you to discover research relevant for your work.