Real-World Network Metrics for Graph Experiments

9.5 KB Excel file from figshare containing summary statistics for real-world networks used in academic experiments. The dataset, authored by Marc Kaufmann and last updated in April 2026, reports key graph metrics including vertex and edge counts, average degree, Spearman assortativity, and power-law exponents. It is licensed under CC-BY-4.0 for open use.

Use Cases

• Benchmarking graph algorithms based on reported network size and structure metrics.
• Analyzing degree distribution properties based on the reported power-law exponent.
• Studying network assortativity patterns based on the Spearman coefficient.
• Comparing topological characteristics across different real-world networks.

Strengths

• Provides five key graph metrics per network, including vertex count, edge count, and power-law exponent.
• Licensed under CC-BY-4.0, enabling open sharing and reuse.
• File size is 9.5 KB, making it quick to download and inspect.

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

figshare, author Marc Kaufmann

Collection Method

Likely compiled from cited academic literature ([40], [76]).

Time Range

null

Freshness

Last updated 2026-04-20 17:54:32; freshness should be verified.

Geography

null