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RESEARCH PRODUCT
Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis
Guillaume RollinDima L. ShepelyanskyJosé LagesTatiana S. Serebriyskayasubject
InternationalityComputer scienceSocial Sciences01 natural scienceslaw.inventionSociologylawNeoplasmsBreast TumorsMedicine and Health SciencesDrug InteractionsComputingMilieux_MISCELLANEOUSMarketing0303 health sciencesGoogle matrixApplied MathematicsSimulation and ModelingQROnline Encyclopedias[SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciencesInfectious DiseasesOncologyNephrologyGenetic DiseasesPhysical SciencesMedicineAnatomyAlgorithmsNetwork analysisResearch ArticleMarket capitalization[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Drug IndustryScience[SDV.CAN]Life Sciences [q-bio]/CancerResearch and Analysis MethodsStatistics Nonparametric[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]03 medical and health sciencesRare DiseasesPageRank0103 physical sciencesBreast CancerRenal DiseasesHumansMass Media010306 general physics030304 developmental biologyClinical GeneticsPharmacologyInternetCancers and NeoplasmsBiology and Life SciencesKidneysRenal SystemData scienceCommunicationsEncyclopediasFabry Disease[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Mathematicsdescription
AbstractUsing 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-12-04 |