mlsanityData to 14 Oct 2026

The LDBC Social Network Benchmark

arXiv 2001.02299 ↗First posted 7 Jan 2020cs.DB cs.PF cs.SIcited by 3

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Abstract (arXiv)

The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of both workloads. This includes a detailed explanation of the data used in the LDBC SNB, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 7 Jan 2020.

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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 1.

3 papers.