Dima Shepelyansky

Main affiliation : Laboratoire de Physique Théorique (UMR 5152)

Website : http://www.quantware.ups-tlse.fr/dima/

6 results

Wikipedia network analysis of cancer interactions and world influence

We apply the Google matrix algorithms for analysis of interactions and influence of 37 cancer types, 203 cancer drugs and 195 world countries using the network of 5 416 537 English Wikipedia articles with all their directed hyperlinks. The PageRank algorithm provides the importance order of cancers ...

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

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 of reduced Google matrix (REGOMAX) allows ...

World influence of infectious diseases from Wikipedia network analysis

Collected date : from 1 May 2017 to 31 May 2017

We consider the network of 5416537 articles of English Wikipedia of 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network ...

Wikipedia Ranking of World Universities 2017

We present Wikipedia Ranking of World Universities (WRWU) based on analysis of networks of 24 Wikipedia editions collected in May 2017. With PageRank and CheiRank algorithms we determine ranking of universities averaged over cultural views of these editions. The comparison with the Shanghai ranking ...

Wikipedia Ranking of World Universities

We obtained the ranking of the most influential universities in Wikipedia. We analyzed networks of articles associated to 24 language editions of Wikipedia to compute the ranking of world universities using PageRank, CheiRank and 2DRank algorithms. The Wikipedia Ranking of World Universities (WRWU) ...

Googlomics: Inferring hidden causal relations between pathway members using reduced Google matrix of directed biological networks

Collected date : from Dec 2015 to Dec 2016

Signaling pathways represent parts of the global biological network which connects them into a seamless whole through complex direct and indirect (hidden) crosstalk whose structure can change during normal development or in a pathological conditions such as cancer. Advanced methods for ...

6 results

dat@UTINAM

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Université de Bourgogne, Université de Franche-Comté, UTBM, AgroSup Dijon, ENSMM, BSB, Arts des Metiers