The expected adjacency and modularity matrices in the degree corrected stochastic block model
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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