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


Autoři: Guillaume Rollin aff001;  José Lages aff001;  Tatiana S. Serebriyskaya aff002;  Dima L. Shepelyansky aff003
Působiště autorů: Institut UTINAM, CNRS, UMR 6213, OSU THETA, Université de Bourgogne Franche-Comté, Besançon, France aff001;  Laboratory for Translational Research and Personalized Medicine, Moscow Institute of Physics and Technology, Moscow, Russia aff002;  Laboratoire de Physique Théorique, IRSAMC, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France aff003
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0225500

Souhrn

Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm using a reduced Google matrix (REGOMAX) allows us to take account both of direct Markov transitions between these articles and also of indirect transitions generated by the pathways between them via the global Wikipedia network. This approach therefore provides a compact description of interactions between these articles that allows us to determine the friendship networks between them, as well as the PageRank sensitivity of countries to pharmaceutical companies and rare renal diseases. We also show that the top pharmaceutical companies in terms of their Wikipedia PageRank are not those with the highest market capitalization.

Klíčová slova:

Algorithms – Breast cancer – Drug interactions – Fabry disease – Infectious diseases – Kidneys – Online encyclopedias – Renal diseases


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Článek vyšel v časopise

PLOS One


2019 Číslo 12