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Shortest Paths and Centrality in Uncertain Networks

Summary: Uncertain-graph shortest-path queries with probabilistic edges; #P-hardness for a path’s probability and basic properties of the Most Probable Shortest Path (MPSP) are established. Introduces sampling-based, end-to-end accurate algorithms for MPSP; defines a betweenness centrality via MPSPs and validates scalability on sensor and brain networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12498
Venue
VLDB
Year
2021
Pagerank
6.0496722e-05
Overall Rank
5,889 | 59.60%
DOI
10.14778/3450980.3450988

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{saha_vldb21,
        title = {{Shortest Paths and Centrality in Uncertain Networks}},
        author = {Saha, Arkaprava and Brokkelkamp, Ruben and Velaj, Yllka and Khan, Arijit and Bonchi, Francesco},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {7},
        pages = {1188--1201},
        doi = {10.14778/3450980.3450988},
        url = {https://doi.org/10.14778/3450980.3450988},
        year = {2021}
}

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