Mining the sociome for Health Informatics: Analysis of therapeutic lifestyle adherence of diabetic patients in Twitter

Supplementary material related to this article can be found online at https://doi.org/10.1016/j.future.2020.04.025.Supplementary material 1: this file contains the 23 user communities detected using the GLay algorithm.

Bibliographic Details
Main Author: Gael Pérez-Rodríguez (author)
Other Authors: Martín Pérez-Pérez (author), Florentino Fdez-Riverola (author), Lourenço, Anália (author)
Format: article
Language:eng
Published: 2020
Subjects:
Sociome
Community detection
Topic modelling
Knowledge graphs
Diabetes
Twitter
Science & Technology
Online Access:http://hdl.handle.net/1822/65086
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/65086
Description
Summary:Supplementary material related to this article can be found online at https://doi.org/10.1016/j.future.2020.04.025.Supplementary material 1: this file contains the 23 user communities detected using the GLay algorithm.

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