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Adaptive Algorithms for Estimating Betweenness and k-path Centralities
Betweenness centrality and k-path centrality are two important indices that are widely used
to analyze social, technological and information networks. In the current paper, first given a …
to analyze social, technological and information networks. In the current paper, first given a …
Metropolis-hastings algorithms for estimating betweenness centrality talel abdessalem
Recently, an optimal probability distribution was proposed to sample vertices for estimating
betweenness centrality, that yields the minimum approximation error. However, it is …
betweenness centrality, that yields the minimum approximation error. However, it is …