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cs.SI2024
Flexible inference in heterogeneous and attributed multilayer networks
Martina Contisciani, Marius Hobbhahn, Eleanor A. Power +2
Networked datasets can be enriched by different types of information about individual nodes or edges. However, most existing methods for analyzing such datasets struggle to handle…
cs.SI2019
Sampling on networks: estimating eigenvector centrality on incomplete graphs
Nicolò Ruggeri, Caterina De Bacco
We develop a new sampling method to estimate eigenvector centrality on incomplete networks. Our goal is to estimate this global centrality measure having at disposal a limited amou…