RESEARCH ARTICLE Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis 1 1 2 3 Guillaume Rollin , Jose LagesID *, Tatiana S. SerebriyskayaID , Dima L. ShepelyanskyID 1 Institut UTINAM, CNRS, UMR 6213, OSU THETA, Universite de Bourgogne Franche-ComteÂ, BesancËon, France, 2 Laboratory for Translational Research and Personalized Medicine, Moscow Institute of Physics and Technology, Moscow, Russia, 3 Laboratoire de Physique TheÂorique, IRSAMC, Universite de Toulouse, CNRS, UPS, 31062 Toulouse, France a1111111111 a1111111111 *
[email protected] a1111111111 a1111111111 a1111111111 Abstract 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 OPEN ACCESS rare renal diseases and 37 types of cancer. The recently developed algorithm using a Citation: Rollin G, Lages J, Serebriyskaya TS, reduced Google matrix (REGOMAX) allows us to take account both of direct Markov transi- Shepelyansky DL (2019) Interactions of tions between these articles and also of indirect transitions generated by the pathways pharmaceutical companies with world countries, between them via the global Wikipedia network. This approach therefore provides a com- cancers and rare diseases from Wikipedia network pact description of interactions between these articles that allows us to determine the analysis. PLoS ONE 14(12): e0225500. https://doi. org/10.1371/journal.pone.0225500 friendship networks between them, as well as the PageRank sensitivity of countries to phar- maceutical companies and rare renal diseases. We also show that the top pharmaceutical Editor: Aram Galstyan, USC Information Sciences Institute, UNITED STATES companies in terms of their Wikipedia PageRank are not those with the highest market capitalization.