World Influence of Infectious Diseases from Wikipedia Network Analysis - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Access Année : 2019

World Influence of Infectious Diseases from Wikipedia Network Analysis

Résumé

We consider the network of 5 416 537 articles of English Wikipedia extracted in 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 10 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network between all 425 nodes taking into account all direct and indirect links with pathways via the huge global network. PageRank and CheiRank algorithms are used to determine the most influential diseases with the top PageRank diseases being Tuberculosis, HIV/AIDS and Malaria. From the reduced Google matrix we determine the sensitivity of world countries to specific diseases integrating their influence over all their history including the times of ancient Egyptian mummies. The obtained results are compared with the World Health Organization (WHO) data demonstrating that the Wikipedia network analysis provides reliable results with up to about 80 percent overlap between WHO and REGOMAX analyses.
Fichier principal
Vignette du fichier
world-influence-infectious.pdf (2.79 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01880718 , version 1 (25-09-2018)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Guillaume Rollin, José Lages, Dima Shepelyansky. World Influence of Infectious Diseases from Wikipedia Network Analysis. IEEE Access, 2019, ⟨10.1109/ACCESS.2019.2899339⟩. ⟨hal-01880718⟩
126 Consultations
124 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More