arXiv (All)
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Reproducibility Challenges in Computational Network Science: Evidence, Causes, and Recommendations
Reproducibility is essential for scientific progress, enabling validation, fair comparison, and building upon prior work. In computational network science (CNS), however, reproducibility remains limited due to missing code, inaccessible datasets, and insufficient reporting of experimental details. T
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