Testing network clustering algorithms with natural language processing

Our framework enables scoring CDAs based on semantic predictability and allows prediction of community membership from minimal textual input. It offers practical benefits, such as providing proxy labels for low-supervision NLP tasks, and is adaptable to other social platforms. Limitations include potential noise in CDA-generated labels but the approach offers a generalizable method for evaluating CDA performance and the coherence of online social groups.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-11-13
DOI
https://doi.org/10.3389/frai.2025.1635436
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Testing network clustering algorithms with natural language processing

Ixandra Achitouv, David Chavalarias, Bruno Gaume
Frontiers in Artificial Intelligence
Complex Network Analysis Techniques
article

Testing network clustering algorithms with natural language processing

Ixandra Achitouv, David Chavalarias, Bruno Gaume
article en

Abstract

Our framework enables scoring CDAs based on semantic predictability and allows prediction of community membership from minimal textual input. It offers practical benefits, such as providing proxy labels for low-supervision NLP tasks, and is adaptable to other social platforms. Limitations include potential noise in CDA-generated labels but the approach offers a generalizable method for evaluating CDA performance and the coherence of online social groups.

Frontiers in Artificial IntelligenceVol. 8
Centre National de la Recherche Scientifique (FR), Sorbonne Université (FR), Centre d'Analyse et de Mathématique Sociales (FR), Laboratoire Cognition, Langues, Langage, Ergonomie (FR), Institut de Recherche en Informatique Fondamentale (FR), LIP6 (FR)
Openalex Percentile: Top 73%
Complex Network Analysis Techniques
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Testing network clustering algorithms with natural language processing — Ixandra Achitouv, David Chavalarias, et al. · Frontiers in Artificial Intelligence (2025) | TGRS Research Map | TGRS