An Adaptive Version of Brandes' Algorithm for Betweenness Centrality

@inproceedings{Bentert2018AnAV,
  title={An Adaptive Version of Brandes' Algorithm for Betweenness Centrality},
  author={M. Bentert and A. Dittmann and Leon Kellerhals and A. Nichterlein and R. Niedermeier},
  booktitle={ISAAC},
  year={2018}
}
  • M. Bentert, A. Dittmann, +2 authors R. Niedermeier
  • Published in ISAAC 2018
  • Computer Science, Mathematics
  • Betweenness centrality - measuring how many shortest paths pass through a vertex - is one of the most important network analysis concepts for assessing the relative importance of a vertex. [...] Key Method We further contribute an algorithmic treatment of degree-two vertices, which turns out to be much richer in mathematical structure than the case of degree-one vertices. Based on these three algorithmic ingredients, we provide a strengthened worst-case running time analysis for betweenness centrality…Expand Abstract
    7 Citations

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