Identifying Hidden Communities of Interest with Topic-based Networks: A Case Study of the Community of Philosophers of Science (1930-2017)

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dc.contributor.author Malaterre, Christophe
dc.contributor.author Lareau, Francis
dc.date.accessioned 2022-12-27T19:04:12Z
dc.date.available 2022-12-27T19:04:12Z
dc.date.issued 2023-01-03
dc.description.abstract Scientific networks are often investigated by means of citation analyses. Yet, interpretation of such networks in terms of semantic (and often disciplinary) content heavily depends on supplementary knowledge, notably about author research specialties. Similar situations arise more generally in many types of social networks whose semantic interpretation relies on supplementary information. Here, author community net-works are inferred from a topic model which provides direct insights into the semantic specificity of the identified “hidden communities of interest” (HCoI). Using a philosophy of science corpus of full-text articles (N=16,917), we investigate its underlying communities by measuring topic profile correlations be-tween authors. A diachronic perspective is built by modeling the research networks over different time-periods and mapping genealogical relationships be-tween communities. The results show a marked in-crease in philosophy of science communities over time and trace the progressive appearance of the specialization areas that structure the field today.
dc.format.extent 10
dc.identifier.doi 10.24251/HICSS.2023.305
dc.identifier.isbn 978-0-9981331-6-4
dc.identifier.uri https://hdl.handle.net/10125/102936
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Network Analysis of Digital and Social Media
dc.subject hidden communities of interest
dc.subject philosophy of science
dc.subject social networks
dc.subject text-mining
dc.subject topic model
dc.title Identifying Hidden Communities of Interest with Topic-based Networks: A Case Study of the Community of Philosophers of Science (1930-2017)
dc.type.dcmi text
prism.startingpage 2473
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