A 2024 dataset by Edward D. Tiernan from the Texas Data Repository provides the Python code and supporting data for the BIPquick network partitioning algorithm. The dataset was last updated on March 18, 2024. It likely contains the necessary files to implement and test the algorithm.
Use Cases
- Implementing the BIPquick network partitioning algorithm based on the provided Python code.
- Testing and benchmarking the algorithm's performance using the included supporting data.
- Studying network community structure and partitioning methods.
- Reproducing computational experiments related to the BIPquick algorithm.
Strengths
- Includes the core Python implementation code for the BIPquick algorithm.
- Provides supporting data files necessary for running the algorithm.
- Dataset was updated on March 18, 2024, indicating recent activity.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
Provenance
- Source
- Texas Data Repository Harvested Dataverse
- Collection Method
- Likely created by the author to accompany the algorithm.
- Time Range
- 2024
- Freshness
- Last updated 2024-03-18 08:43:23
- Geography
- null