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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
12310
Venue
VLDB
Year
2021
Pagerank
5.170101e-05
Overall Rank
6,171 | 57.08%
DOI
10.14778/3450980.3450988

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