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arXiv · 2607.16433

Reproducible Research in Network Modeling

Anna M. Ermolayeva·Tatyana R. Velieva·Anna A. Zhivtsova·Anna V. Korolkova·and Dmitry S. Kulyabov
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Abstract

Background: When we model networks, there is a problem of obtaining experimental data to verify other model approaches. And even if there are some experimental data, it is necessary to be sure of their reliability. Purpose: It is necessary to propose methods for obtaining reliable experimental data. Method: By its nature, network equipment is a software and hardware complex. Therefore, a full-scale software model can be considered completely equivalent to real equipment. And a real experiment can be replaced by a nature experiment. The reliability of a nature experiment will be based on its reproducibility. Results A comparison of popular nature network modeling packages was carried out. These packages were divided by functionality and feasibility of reproducible studies. Conclusions: Most software packages meet the reproducibility criteria. The choice of a specific solution depends on non-technical factors: popularity and knowledge of the package.

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Anna M. Ermolayeva, Tatyana R. Velieva, Anna A. Zhivtsova, Anna V. Korolkova, and Dmitry S. Kulyabov. 2026-07-17. Reproducible Research in Network Modeling. https://doi.org/10.1007/978-3-032-19978-2_4

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