Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis

Guillaume Rollin (1) , José Lages (1) , Tatiana S Serebriyskaya (2) , Dima Shepelyansky (3, 4)

1 UTINAM - Univers, Transport, Interfaces, Nanostructures, Atmosphère et environnement, Molécules (UMR 6213)
2 MIPT - Moscow Institute of Physics and Technology [Moscow]
3 ICQ - Cohérence Quantique (LPT)
4 LPT - Laboratoire de Physique Théorique

Using English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm of reduced Google matrix (REGOMAX) allows to take into account direct Markov transitions between these articles but also all indirect ones generated by the pathways between these articles via the global Wikipedia network. Thus this approach provides a compact description of interactions between these articles that allows to determine the friendship networks between articles, the PageRank sensitivity of countries to pharmaceutical companies and rare renal diseases. We also show that the top pharmaceutical companies of Wikipedia PageRank are not those of the top list of market capitalization.

Domaines: Bio-informatique [q-bio.QM]; Complexité [cs.CC]; Réseaux sociaux et d'information [cs.SI]; Cancer; Sciences pharmaceutiques

Guillaume Rollin, José Lages, Tatiana S Serebriyskaya, Dima Shepelyansky. Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis. PLoS ONE, 2019, 14 (12), pp.e0225500. ⟨10.1371/journal.pone.0225500⟩. ⟨hal-02115530v2⟩