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A Top-Down Scheme for Coverage Centrality Queries on Road Networks

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Databases Theory and Applications (ADC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13459))

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Abstract

Coverage Centrality is an important metric to evaluate the node importance in road networks. However, the current solutions have to compute the coverage centrality of all the nodes together, which is resource-wasting especially when only some nodes’ centrality is required. In addition, they have poor adaption to the dynamic scenario because of the computation inefficiency. In this paper, we focus on the coverage centrality query problem and propose an efficient algorithm to compute the centrality of a single node efficiently in both static and dynamic scenarios, with the help of the intra-region pruning, inter-region pruning, and top-down search. Experiments validate the efficiency and effectiveness of our algorithm compared with the state-of-the-art method.

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Authors and Affiliations

  1. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong

    Yehong Xu & Lei Li

  2. Iowa State University, Ames, USA

    Mengxuan Zhang

  3. Guangzhou University, Guangzhou, China

    Ruizhong Wu

  4. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

    Lei Li

Authors
  1. Yehong Xu
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  2. Mengxuan Zhang
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  3. Ruizhong Wu
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  4. Lei Li
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Corresponding author

Correspondence to Yehong Xu .

Editor information

Editors and Affiliations

  1. The University of Queensland, Brisbane, QLD, Australia

    Wen Hua

  2. Victoria University, Footscray, VIC, Australia

    Hua Wang

  3. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China

    Lei Li

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Xu, Y., Zhang, M., Wu, R., Li, L. (2022). A Top-Down Scheme for Coverage Centrality Queries on Road Networks. In: Hua, W., Wang, H., Li, L. (eds) Databases Theory and Applications. ADC 2022. Lecture Notes in Computer Science, vol 13459. Springer, Cham. https://doi.org/10.1007/978-3-031-15512-3_3

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  • DOI: https://doi.org/10.1007/978-3-031-15512-3_3

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  • Print ISBN: 978-3-031-15511-6

  • Online ISBN: 978-3-031-15512-3

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