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…