Design Strategies for Networked Experiments via Interference Balancing

Haoyu Yang's dataset on figshare, last updated April 13, 2026, contains materials related to novel randomization designs for estimating causal effects under network interference. The 5.8 MB repository includes CSV files, R code, PDF documentation, and a ZIP archive. The work introduces and evaluates two methods, NetRR and NetMM, for experimental design in networked settings.

Use Cases

• Benchmarking new randomization designs based on the described NetRR and NetMM methods
• Simulating treatment effects under heterogeneous network interference as discussed in the description
• Evaluating estimator performance in real-world social network experiments referenced in the paper
• Studying trade-offs between model assumption risks and design feasibility as outlined in the research

Strengths

• Dataset is 5.8 MB in size, making it a small and quick download.
• Includes multiple file formats (CSV, R, PDF, ZIP) providing code, data, and documentation.
• Released under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Haoyu Yang via figshare

Collection Method

Likely contains simulated experiment data and results from a real-world social network experiment, as mentioned in the description.

Time Range

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Freshness

Last updated 2026-04-13 15:03:14; freshness should be verified.

Geography

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