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)
Incoming Non-self Citations Over Time
Authors
- 1. Matteo Ceccarello (University of Padova)
- 2. Carlo Fantozzi (University of Padova)
- 3. Andrea Pietracaprina (University of Padova)
- 4. Geppino Pucci (University of Padova)
- 5. Fabio Vandin (University of Padova)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,559 | Efficient and Effective Algorithms for Clustering Uncertain Graphs | 2019 | VLDB | 7.3095916e-05 |
| 4,366 | Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially | 2019 | VLDB | 6.7407122e-05 |
| 9,281 | Sage: A System for Uncertain Network Analysis | 2022 | VLDB | 5.2933125e-05 |
| 10,919 | X-Blossom: Massive Parallelization of Graph Maximum Matching | 2025 | VLDB | 5.093636e-05 |
| 11,458 | Scaling Up Structural Clustering to Large Probabilistic Graphs Using Lyapunov Central Limit Theorem | 2023 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 65 | Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge | 2008 | SIGMOD | 0.00038697603 |
| 78 | ULDBs: Databases with Uncertainty and Lineage | 2006 | VLDB | 0.00036571789 |
| 315 | Influence Maximization in Near-Linear Time: A Martingale Approach | 2015 | SIGMOD | 0.00021436156 |
| 1,049 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB | 0.00012415522 |
| 1,254 | Distance-Constraint Reachability Computation in Uncertain Graphs | 2011 | VLDB | 0.0001147266 |
| 2,977 | Injecting Uncertainty in Graphs for Identity Obfuscation | 2012 | VLDB | 7.9035901e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,143 | k-Clustering with Comparison and Distance Oracles | 2024 | PODS |
| 2 | 6,812 | Exceeding Expectations and Clustering Uncertain Data | 2009 | PODS |
| 3 | 5,556 | Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach | 2022 | SIGMOD |
| 4 | 6,974 | Uncertain Centroid based Partitional Clustering of Uncertain Data | 2012 | VLDB |
| 5 | 5,889 | Shortest Paths and Centrality in Uncertain Networks | 2021 | VLDB |
| 6 | 2,253 | Approximation Algorithms for Clustering Uncertain Data | 2008 | PODS |
| 7 | 1,049 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB |
| 8 | 6,037 | On Uncertain Graphs Modeling and Queries | 2015 | VLDB |
| 9 | 3,738 | The Pursuit of a Good Possible World: Extracting Representative Instances of Uncertain Graphs | 2014 | SIGMOD |
| 10 | 3,559 | Efficient and Effective Algorithms for Clustering Uncertain Graphs | 2019 | VLDB |