A 69.8M-edge cross-corpus graph shows science influencing software mainly via reproducibility and sequence tools while software influences science via ML infrastructure, but direct links are sparse and reuse-citation correlations flip sign depending on the pairing method.
David Schindler, Tazin Hossain, Sascha Spors, and Frank Kr¨ uger
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The Reciprocal Impact of Science and Software: A Cross-Corpus Analysis of How Research Shapes Software and Software Enables Research
A 69.8M-edge cross-corpus graph shows science influencing software mainly via reproducibility and sequence tools while software influences science via ML infrastructure, but direct links are sparse and reuse-citation correlations flip sign depending on the pairing method.