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Modularity for hypergraph clustering: Methodologies and applications
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DOI：10.1016/j.omega.2025.103387.png)
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Abstract
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• To introduce a new definition of modularity that can be applied to hypergraphs. • To propose an optimization model based on mathematical programming to find the optimal hypergraph partition. • To compare its result with the outcome of other models suggested so far, and finding that they are an improvement. • To show that hypergraph clustering can be applied to survey data, to carry on statistical analysis otherwise not available.
Keywords:
Complex networks
Hypergraph clustering
Modularity
Mathematical programming
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