RT Journal Article
SR Electronic
T1 Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 614016
DO 10.1101/614016
A1 Rollin, Guillaume
A1 Lages, José
A1 Serebriyskaya, Tatiana S.
A1 Shepelyansky, Dima L.
YR 2019
UL http://biorxiv.org/content/early/2019/08/26/614016.abstract
AB 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.