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Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers

Summary: Models polarization niches as dense subgraphs attracted to misinformation sources and repelled by authoritative ones, using only network structure. The DITH supermodular-greedy algorithm offers user-specified approximation guarantees with scalable early termination. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13088
Venue
VLDB
Year
2022
Pagerank
6.3674344e-05
Overall Rank
5,087 | 65.10%
DOI
10.14778/3565838.3565843

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fazzone_vldb22,
        title = {{Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers}},
        author = {Fazzone, Adriano and Lanciano, Tommaso and Denni, Riccardo and Tsourakakis, Charalampos E. and Bonchi, Francesco},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {13},
        pages = {3883--3896},
        doi = {10.14778/3565838.3565843},
        url = {https://doi.org/10.14778/3565838.3565843},
        year = {2022}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
276 Local Search of Communities in Large Graphs 2014 SIGMOD 0.00022620623
6,125 The Minimum Wiener Connector Problem 2015 SIGMOD 5.9675732e-05
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