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In praise of visual representation

An inquiry into text analysis and network visualization for charting scientific communities

Bibliographic Data

ID12700377
AuthorsDario Rodighiero (0000-0002-1405-7062, University of Groningen, The Netherlands, corresponding author)
Year2024
Volume23
Issue3
Pages513-526
Publication date2024-07-27
Open AccessYes
TypeARTICLE
VenueVisual Communication (JOURNAL)
Journal identifiersISSN: 1470-3572 • E-ISSN: 1741-3214
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14703572241248408
OpenAlexW4401050873
LanguageEN
References cited21

This article provides a visual investigation into scientific communities through the lens of language. Inspired by actor-network theory, the study examines how individuals establish connections through shared vocabularies and, consequently, how communities organize themselves into linguistic groups. Using scientific texts to map the lexical dimension, the premise posits that research communities can be visually represented by their members and the words they employ, favouring the comprehension of social structures. The research draws from a decade-long personal experimentation with language-based visual models, to explore how research communities appear according to their lexicon, in which each individual is intricately intertwined. Employing cutting-edge techniques of text analysis and network visualization, the study analyses, organizes and maps scientific communities, clustering individuals into thematic groups based on their language use. The findings are presented through a series of projects that delve into the analytical power of images and unveil novel visual methods to better understand the spatial dynamics of language and communities

Ambiguity · Comprehension · Data science · Lexicon · Linguistics · Natural language processing · Qualitative research · Representation (politics · Social science · Sociology · Thematic analysis · Visual language · Visualization · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Web visibility and informetrics · Artificial Intelligence

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Highly citedNo

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