SpecMBA: Multi-layer Network Data for Community Detection Method Validation

A 2.8 MB research dataset from figshare, last updated in April 2026, accompanies a paper proposing the SpecMBA method for community detection. The data likely contains multi-layer network adjacency matrices used to validate the proposed spectral method with moment integration and bias adjustment. Author Xuefei Wang released the dataset under a CC-BY-4.0 license.

Use Cases

• Benchmarking community detection algorithms based on multi-layer network data.
• Testing adaptive aggregation methods for network layers based on the described first and second moment integration.
• Studying the effect of noise heteroskedasticity adjustment in network models.
• Analyzing international trade patterns based on the mentioned food trading network application.

Strengths

• Includes a detailed PDF describing the novel SpecMBA method and its theoretical foundations.
• Released under a permissive CC-BY-4.0 license for open use and modification.
• Dataset size of 2.8 MB suggests a focused, manageable download.

Limitations

• Row and column counts are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is methodological; the specific content and format of the data files (ZIP, PDF, TXT) require inspection.

Provenance

Source

figshare

Collection Method

Likely generated or compiled for the associated research paper.

Freshness

Last updated 2026-04-13 15:09:14; freshness should be verified.