BSMA: A Benchmark for Analytical Queries over Social Media Data
Summary: BSMA benchmarks analytical queries over social media using real data (1.6M users, tweets/retweets) and a configurable synthetic generator. It covers graph, temporal, hotspot, and aggregate workloads with online argument generation (power-law sampling), plus a performance toolkit and prototype. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fan Xia
- 2. Ye Li
- 3. Chengcheng Yu
- 4. Haixin Ma
- 5. Weining Qian
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,670 | The LDBC Social Network Benchmark: Business Intelligence Workload | 2023 | VLDB | 6.8557811e-05 |
| 5,334 | Fast In-Memory SQL Analytics on Typed Graphs | 2017 | VLDB | 5.5625443e-05 |
| 6,966 | Utilizing IDs to Accelerate Incremental View Maintenance | 2015 | SIGMOD | 4.8754926e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0024217964 |
| 70 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00059744625 |
| 281 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.00029084275 |
| 2,487 | Shark: Fast Data Analysis Using Coarse-grained Distributed Memory | 2012 | SIGMOD | 8.6609871e-05 |
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