Tracing the influence of individuals or groups in social networks is an increasingly popular task in sociolinguistic studies. While methods to determine someone’s influence in short-term contexts (e.g., social media, on-line political debates) are widespread, influence in long-term contexts is less investigated and may be harder to capture. We study the diffusion of scientific terms in an English diachronic scientific corpus, applying Hawkes Processes to capture the role of individual scientists as "influencers" or "influencees" in the diffusion of new concepts. Our findings on two major scientific discoveries in chemistry and astronomy of the 18th century reveal that modelling both the introduction and diffusion of scientific terms in a historical corpus as Hawkes Processes allows detecting patterns of influence between authors on a long-term scale.
CITATION STYLE
Bizzoni, Y., Degaetano-Ortlieb, S., Menzel, K., & Teich, E. (2021). The diffusion of scientific terms – tracing individuals’ influence in the history of science for English. In 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, LaTeCHCLfL 2021 - Co-located with the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021 - Proceedings (pp. 120–127). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.latechclfl-1.14
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