Discovering Polarization Niches via Dense Subgraphs with Attractors and Repulsers
Summary: Models polarization niches as dense subgraphs anchored by attractors A and repulsers R, using only network topology, no text mining. Proposes dith, a greedy upper-bound aware supermodular maximization with a stopping rule for scalable niches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,986 | On Density-based Local Community Search | 2024 | PODS | 4.613363e-05 |
| 9,557 | An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery | 2024 | SIGMOD | 4.3254416e-05 |
| 10,072 | Efficient and Scalable Directed Densest Subgraph Discovery | 2026 | SIGMOD | 4.1945683e-05 |
| 10,865 | Approximate Anchored Densest Subgraph Search on Large Static and Dynamic Graphs | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 353 | Local Search of Communities in Large Graphs | 2014 | SIGMOD | 0.00026277992 |
| 7,157 | The Minimum Wiener Connector Problem | 2015 | SIGMOD | 4.8144713e-05 |
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