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Article Dans Une Revue Procedia Computer Science Année : 2022

Mapping the Hyperlink Structure of Diabetes Online Communities.

Résumé

Diabetes is one of the largest global health emergencies of the 21st century. As a chronic disease, diabetes requires continuous medical care and constant patient self-management. Such care involves several stakeholders to improve health outcome and patient quality of life. This paper makes use of World Wide Web network analysis to highlight how stakeholders, providing information about online diabetes communities, link to each other. To achieve this, we capture the network of diabetes related websites as a digital trace of a non-digital phenomenon. Furthermore, this helps us to understand the current situation of diabetes organizations from a digital perspective. The methodology involves state-of-the-art tools to crawl (Hyphe) and visualize (Gephi) topic-sensitive networks. While neither of these tools is new in itself, their combination provides a promising way to analyze chronic disease stakeholders, organizations and communities, representing a large proportion of the knowledge and support diabetes patients have access to nowadays.
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Dates et versions

hal-03695848 , version 1 (15-06-2022)

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Hongyi Shi, Fabien Pfaender, Marie-Christine Jaulent. Mapping the Hyperlink Structure of Diabetes Online Communities.. Procedia Computer Science, 2022, 160, pp.330-337. ⟨10.3233/SHTI190265⟩. ⟨hal-03695848⟩
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