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• W2768894506 abstract "In this paper, we propose a new strategy to derive an unweighted adjacency matrix from an affiliation matrix. The strategy is based on the use of a biclustering technique in order to reduce the sparsity of the matrix without changing the network structure. As an example, we implemented this approach to seek the common meaning of the term sustainability by using an affiliation matrix characterized by a core–periphery structure. The application of BiMax biclustering algorithm shows a sparsity reduction of the unweighted adjacency matrix with an invariant network structure." @default.
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• W2768894506 date "2017-01-01" @default.
• W2768894506 modified "2023-09-27" @default.
• W2768894506 title "Sparsity Data Reduction in Textual Network Analysis" @default.
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• W2768894506 doi "https://doi.org/10.1007/978-3-319-55477-8_10" @default.
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