A FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53969-5_13
Reference24 articles.
1. Bergamini, E., Borassi, M., Crescenzi, P., Marino, A., Meyerhenke, H.: Computing top-k closeness centrality faster in unweighted graphs. ACM Trans. Knowl. Disc. Data 13, 1–40 (2019)
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3. Bonacich, P.: Power and centrality: a family of measures. Am. J. Sociol. 92(5), 1170–1182 (1987)
4. Bonchi, F., De Francisci Morales, G., Riondato, M.: Centrality measures on big graphs: exact, approximated, and distributed algorithms. In: Proceedings of the 25th International Conference Companion on World Wide Web (2016)
5. Lecture Notes in Computer Science;U Brandes,2005
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