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Clustering Uncertain Graphs

Summary: Introduces k-center clustering for uncertain graphs, optimizing minimum or average probabilistic connectivity to cluster centers across possible worlds. Proves NP-hardness and provides efficient approximation algorithms with guarantees and controllable clustering granularity. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11946
Venue
VLDB
Year
2018
Pagerank
5.9059861e-05
Overall Rank
6,345 | 56.47%
DOI
10.1145/3164135.3164143

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ceccarello_vldb18,
        title = {{Clustering Uncertain Graphs}},
        author = {Ceccarello, Matteo and Fantozzi, Carlo and Pietracaprina, Andrea and Pucci, Geppino and Vandin, Fabio},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {4},
        number = {11},
        pages = {472--484},
        doi = {10.1145/3164135.3164143},
        url = {https://doi.org/10.1145/3164135.3164143},
        year = {2018}
}

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