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Communication Dans Un Congrès Année : 2023

Tracing the Trajectories of Knowledge: A Systematic Analysis of Knowledge Mobility Patterns in Scientific and Cultural Texts

Résumé

In this work, we operationalize spatial movement metaphors commonly used to describe scientific discovery by systematically investigating knowledge mobility patterns. Utilizing low-dimensional embedding techniques, we create a knowledge space composed of 1.5 million articles from physics, computer science, and mathematics. Analyzing individual researcher's textual contributions, our study uncovers striking patterns in knowledge mobility, which resemble physical mobility. We find that individual trajectories collectively form 'mobility flows.' These flows can be depicted via a gravity model, illustrating that knowledge leaps are more probable within high-density areas and less likely across extended distances. Our study also identifies a dichotomy of two primary categories of knowledge contributors: interdisciplinary ‘explorers', who lead in new domains, and 'exploiters', who focus on their areas of expertise. These findings offer new ways to represent knowledge evolution, contrasting with methods used in tracking trends in art historical data. Finally, we offer perspectives on how this approach can be applicable to texts that encapsulate broader cultural philosophies, including religious scriptures and wisdom traditions, exploring its applicability in representing collective trajectories in cultural evolution. In sum, this research contributes a robust and versatile analytical framework to the study of knowledge mobility and evolution.
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Dates et versions

hal-04514902 , version 1 (21-03-2024)

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  • HAL Id : hal-04514902 , version 1

Citer

Marc Santolini, Liubov Tupikina. Tracing the Trajectories of Knowledge: A Systematic Analysis of Knowledge Mobility Patterns in Scientific and Cultural Texts. Cultural Data Analytics Conference 2023, Dec 2023, Tallinn, Estonia. ⟨hal-04514902⟩

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