BSMA: A Benchmark for Analytical Queries over Social Media Data
Summary: BSMA benchmarks social-media analytics with a 1.6M-user real dataset plus parameterized generators for networks, timelines, and updates. Its workloads combine graph, temporal, hotspot, and aggregate queries with online power-law sampling, alongside standardized measurement tooling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Fan Xia (East China Normal University)
- 2. Ye Li (East China Normal University)
- 3. Chengcheng Yu (East China Normal University)
- 4. Haixin Ma (East China Normal University)
- 5. Weining Qian (East China Normal University)
BibTeX Citation
@article{xia_vldb14,
title = {{BSMA: A Benchmark for Analytical Queries over Social Media Data}},
author = {Xia, Fan and Li, Ye and Yu, Chengcheng and Ma, Haixin and Qian, Weining},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1573--1576},
doi = {10.14778/2733004.2733033},
url = {https://doi.org/10.14778/2733004.2733033},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,018 | The LDBC Social Network Benchmark: Business Intelligence Workload | 2023 | VLDB | 7.8473755e-05 |
| 4,892 | Fast In-Memory SQL Analytics on Typed Graphs | 2017 | VLDB | 6.4574091e-05 |
| 6,739 | Utilizing IDs to Accelerate Incremental View Maintenance | 2015 | SIGMOD | 5.7873433e-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 |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 32 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00050111008 |
| 232 | LinkBench: a Database Benchmark Based on the Facebook Social Graph | 2013 | SIGMOD | 0.00023830978 |
| 2,207 | Shark: Fast Data Analysis Using Coarse-grained Distributed Memory | 2012 | SIGMOD | 8.9565862e-05 |
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