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Cited by 313

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

LinkBench: a database benchmark based on the Facebook social graph

Armstrong, Timothy G., Ponnekanti, Vamsi, Borthakur, Dhruba, Callaghan, Mark·2013·Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data

Abstract

Database benchmarks are an important tool for database researchers and practitioners that ease the process of making informed comparisons between different database hardware, software and configurations. Large scale web services such as social networks are a major and growing database application area, but currently there are few benchmarks that accurately model web service workloads.

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Metadata

Authors
Armstrong, T. G., Ponnekanti, V., Borthakur, D., & Callaghan, M.
Venue
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Publisher
ACM
Published
2013-06-22
Pages
1185-1196
ISSN
0730-8078 (ISSN-L)
OpenAlex
W2090330503
Cited by
313
References
14
FWCI
21.80
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: LinkBench: a database benchmark based on the Facebook social graph. https://app.cochat.ai/papers/10.1145/2463676.2465296
The paper
Armstrong, T. G., Ponnekanti, V., Borthakur, D., & Callaghan, M. (2013). LinkBench: a database benchmark based on the Facebook social graph. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. https://doi.org/10.1145/2463676.2465296

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.