most citedApproximating Network Centrality Measures Using Node Embedding and Machine Learning

32 citations · 32 across the 1 of their papers we have counts for

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1 paper

cs.SI2020★ 32 cited

Approximating Network Centrality Measures Using Node Embedding and Machine Learning

Matheus R. F. Mendonça, André M. S. Barreto, Artur Ziviani

Extracting information from real-world large networks is a key challenge nowadays. For instance, computing a node centrality may become unfeasible depending on the intended central…