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<p>Loet Leydesdorff pioneered in the application of Shannon’s information theory and Bayes’ theorem to scientometric data. He focused on word distributions in full texts and developing methods for both cross-sectional analysis and change over time in information theory terms. As an extension, or perhaps a deviation from his approach, I present an information theory treatment of theory-evidence agreement, showing how Shannon’s ideas on entropy can be applied to understanding scientific discovery and its relation to Bayesian confirmation.</p>

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Information and scientific discovery: Shannon, Bayes and Leydesdorff

  • 期刊论文

  • 发表日期：

    2025年4月19日

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  • Henry Small

摘要

Loet Leydesdorff pioneered in the application of Shannon’s information theory and Bayes’ theorem to scientometric data. He focused on word distributions in full texts and developing methods for both cross-sectional analysis and change over time in information theory terms. As an extension, or perhaps a deviation from his approach, I present an information theory treatment of theory-evidence agreement, showing how Shannon’s ideas on entropy can be applied to understanding scientific discovery and its relation to Bayesian confirmation.