Algorithms for fast estimation of social network centrality measures
Algorithms for fast estimation of social network centrality measures is a scholarly work, published in 2018 in ''International Journal of Big Data Intelligence''. The main subjects of the publication include complex network, network theory, node, network science, data mining, artificial intelligence, centrality, identification, theoretical computer science, graph neural network, Katz centrality, PageRank, machine learning, betweenness centrality, computer science, and social network. The paper explores multiple approaches to improve the computational effort required to compute relative centrality measures.