Tracking the Conductance of Rapidly Evolving Topic-Subgraphs
Summary: BloomGraphs: Bloom-filter based approximation to maintain thousands of evolving topic subgraphs and track conductance in real time. One-sided error bound; approximate conductance change tracks true change in most cases; scalable, tested on Twitter. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sainyam Galhotra
- 2. Amitabha Bagchi
- 3. Srikanta Bedathur
- 4. Maya Ramanath
- 5. Vidit Jain
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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 |
|---|---|---|---|---|
| 595 | Estimating PageRank on Graph Streams | 2008 | PODS | 0.00019507721 |
| 969 | TwitterMonitor: Trend Detection over the Twitter Stream | 2010 | SIGMOD | 0.00014942212 |
| 3,232 | Managing Large Dynamic Graphs Efficiently | 2012 | SIGMOD | 7.336861e-05 |
| 3,838 | Approximately Detecting Duplicates for Streaming Data using Stable Bloom Filters | 2006 | SIGMOD | 6.7134945e-05 |
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