The well-known algorithm of Brandes [2001] computes, on an n-vertex and m-edge graph, the betweenness centrality of all vertices in O(nm) worst-case time. In ...
Feb 19, 2018 · Based on these three algorithmic ingredients, we provide a strengthened worst-case running time analysis for betweenness centrality algorithms.
A straightforward algorithm for computing the betweenness centrality on undirected (unweighted) n-vertex graphs runs in O(n3) time. For the weighted case, an ...
Dec 6, 2018 · Based on these three algorithmic ingredients, we provide a strengthened worst-case running time analysis for betweenness centrality algorithms.
Oct 22, 2024 · In static graphs, the betweenness centrality of a graph vertex measures how many times this vertex is part of a shortest path between any two ...
This work proves an adaptive running time bound O(kn), where k < m is the size of a minimum feedback edge set of the input graph, and provides a ...
Sep 7, 2024 · Based on these three algorithmic ingredients, we provide a strengthened worst-case running time analysis for betweenness centrality algorithms.
The well-known algorithm of Brandes [2001] computes, on an n-vertex and m-edge graph, the betweenness centrality of all vertices in O(nm) worst-case time. In ...
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Bentert, Matthias, et al. “An Adaptive Version of Brandes' Algorithm for Betweenness Centrality”. Journal of Graph Algorithms and Applications, vol. 24, no.
We present an incremental algorithm that updates the betweenness centrality (BC) score of all vertices in a graph G when a new edge is added to G, ...