Newman, MEJ, {Finding community structure in networks using the eigenvectors of matrices}, in: Physical Review E 74 3 (2006), S. 36104.
Chung, F. R. K. Spectral Graph Theory.
Monien, B., Rezension zu: On Spectral Bounds for the k-Partitioning of Graphs (2001).
Mohar, B., {The Laplacian spectrum of graphs}, in: Graph Theory, Combinatorics, and Applications 2 (1991), S. 871--898.
Spielman, D.A., Spectral Graph Theory and its Applications, in: Foundations of Computer Science, 2007. FOCS '07. 48th Annual IEEE Symposium on (2007), S. 29-38.
Johnson, David S., Papadimitriou, Christos H., On generating all maximal independent sets, in: Inf. Process. Lett. 27 3 (1988), S. 119--123.
Dias, Vânia M.F., de Figueiredo, Celina M.H., Szwarcfiter, Jayme L., Generating bicliques of a graph in lexicographic order, in: Theoretical Computer Science 337 1-3 (2005), S. 240 - 248.
Fiedler, M., {A property of eigenvectors of nonnegative symmetric matrices and its application to graph theory}, in: Czechoslovak Mathematical Journal 25 100 (1975), S. 619--633.
Haveliwala, T.H., Kamvar, S.D., {The second eigenvalue of the Google matrix}, in: A Stanford University Technical Report http://dbpubs. stanford. edu (2003).
Dhillon, Inderjit S.: Co-clustering documents and words using bipartite spectral graph partitioning. In: KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA : ACM Press, 2001. - ISBN 158113391X, S. 269--274
Blelloch, Guy: Graph Separators, 2002. -
Pothen, A., Simon, H.D., Liou, K.P., {Partitioning Sparse Matrices with Eigenvectors of Graphs}, in: SIAM J. MATRIX ANAL. APPLIC. 11 3 (1990), S. 430--452.
Chan, Pak K., Schlag, Martine D. F., Zien, Jason Y., Spectral K-way ratio-cut partitioning and clustering., in: IEEE Trans. on CAD of Integrated Circuits and Systems 13 9 (1994), S. 1088-1096.
Yu, Stella X., Shi, Jianbo: Multiclass Spectral Clustering. In: Proc. International Conference on Computer Vision (ICCV 03). Nice, France, 2003
Hagen, Lars W., Kahng, Andrew B., New spectral methods for ratio cut partitioning and clustering., in: IEEE Trans. on CAD of Integrated Circuits and Systems 11 9 (1992), S. 1074-1085.
Symeonidis, Panagiotis, Nanopoulos, Alexandros, Manolopoulos, Yannis: Tag recommendations based on tensor dimensionality reduction. In: RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems. New York, NY, USA : ACM, 2008. - ISBN 978-1-60558-093-7, S. 43--50
Ranade, A.G.: {Some uses of spectral methods}, 2000. -
Schmitz, Christoph, Hotho, Andreas, Jäschke, Robert, Stumme, Gerd ; Sure, York, Domingue, John: Content Aggregation on Knowledge Bases using Graph Clustering. 4011. In: The Semantic Web: Research and Applications. Heidelberg : Springer, 2006 (LNAI), S. 530-544
Brandes, Ulrik, Delling, Daniel, Gaertler, Marco, Görke, Robert, Hoefer, Martin, Nikoloski, Zoran, Wagner, Dorothea, On Finding Graph Clusterings with Maximum Modularity, in: Brandstädt, Andreas, Kratsch, Dieter, Müller, Haiko (Hrsg.), Graph-Theoretic Concepts in Computer Science, Bd. 4769, Berlin / Heidelberg 2007, S. 121-132.
Diestel, Reinhard Graph Theory, 3 (electronic edition). Aufl..