The expected adjacency and modularity matrices in the degree corrected stochastic block model
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Fasino, Dario and Tudisco, Francesco (2018) The expected adjacency and modularity matrices in the degree corrected stochastic block model. Special Matrices, 6 (1). pp. 110-121. ISSN 2300-7451 (https://doi.org/10.1515/spma-2018-0010)
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Abstract
We provide explicit expressions for the eigenvalues andeigenvectors of matrices that can be written as the Hadamard product of a blockpartitioned matrix with constant blocks and a rank one matrix. Such matricesarise as the expected adjacency or modularity matrices in certain random graphmodels that are widely used as benchmarks for community detection algorithms.
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Item type: Article ID code: 64196 Dates: DateEvent7 March 2018Published16 February 2018AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 31 May 2018 14:19 Last modified: 11 Nov 2024 12:00 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/64196
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