Reproducibility Code for a Graph-Based Human Mobility Analysis Framework

A figshare repository by Jiaxin Du provides step-by-step instructions for reproducing findings from a study on human mobility using spatial-temporal network representations. The repository, last updated on 2026-04-27, contains Jupyter notebook and text files with a total size of 69.6 KB. It links to external data files hosted on Zenodo for tasks involving people and location graphs.

Use Cases

• Reproducing results for a 'People as nodes' graph analysis based on the described notebook cell output.
• Reproducing results for a 'Location as nodes' graph analysis based on the described notebook cell output.
• Reproducing results for a 'People-Location' bipartite graph analysis based on the described notebook cell output.
• Setting up a computational environment for spatial-temporal network experiments as per the provided instructions.

Strengths

• Includes a direct link to the source data on Zenodo (doi:10.5281/zenodo.8111993).
• Provides specific cell-by-cell instructions for reproducing three distinct graph-based analyses.
• Released under the permissive MIT license.

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 is unknown, which may limit suitability assessment.

Provenance

Source

Author Jiaxin Du via figshare.

Collection Method

Likely generated as part of academic research on human mobility; the repository contains reproducibility code.

Freshness

Last updated 2026-04-27 17:57:19; freshness should be verified.