Name: CODECHECK Certificate 2022-015
Item: Unlocking social network analysis methods for studying human mobility

Paper details

Title: Unlocking social network analysis methods for studying human mobility

Authors: Nina Wiedemann, Henry Martin, Martin Raubal

Abstract: Obtained from abstract_source

CODECHECK details

Certificate identifier: 2022-015

Codechecker name: Jakub Krukar

Time of check: 2022-07-09 12:00:00

Repository: https://osf.io/MVQCW

Full certificate: https://doi.org/10.17605/osf.io/mvqcw

Type: conference

Venue: AGILEGIS

Summary:

The paper provides a link to a GitHub repository that was initially difficult to use but was promptly improved by the authors after an email exchange. The repository contains only one out of two datasets presented in the paper but most results based on this dataset have been successfully reproduced with minor disparities due to automated scaling of graphs. In sum, the manuscript has been partially reproduced. The repository is well-documented, it includes the documentation of required software versions, and the authors’ response to questions and bugs has been prompt and helpful.

Cite this certificate: Citation metadata retrieved from data.crosscite.org