Wikipedia network analysis of cancer interactions and world influence (2019)

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Dataset
Licence : CC BY-NC-SA doi:10.25666/DATAOSU-2019-01-25
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Data creators : José Lages [1] [2], Dima Shepelyansky [3], Guillaume Rollin [1] [2]
[1] : Institut UTINAM (UMR 6213) (Université de Franche-Comté)
[2] : Observatoire des Sciences de l'Univers - Terre, Homme, Environnement, Temps, Astronomie (UAR 3245) (Université de Franche-Comté)
[3] : Laboratoire de Physique Théorique (UMR 5152)
Description :
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 which has 60% and 70% overlaps with the top 10 cancers extracted from World Health Organization GLOBOCAN 2018 and Global Burden of Diseases Study 2017, respectively. The recently developed reduced Google matrix algorithm gives networks of interactions between cancers, drugs and countries taking into account all direct and indirect links between these selected 435 entities. These reduced networks allow to obtain sensitivity of countries to specific cancers and drugs. The strongest links between cancers and drugs are in good agreement with the approved medical prescriptions of specific drugs to specific cancers. We argue that this analysis of knowledge accumulated in Wikipedia provides useful complementary global information about interdependencies between cancers, drugs and world countries.
Disciplines :
computer science, artificial intelligence (engineering science), computer science, information systems (engineering science), oncology (medical research), pharmacology & pharmacy (medical research), physics, mathematical (physics), multidisciplinary sciences

General metadata

Data acquisition date : from 1 May 2017 to 31 May 2017
Data acquisition methods :
  • Derived or compiled data :
    Web crawling of Wikipedia editions (May 2017) to retrieve information.
  • Simulation or computational data :
    PageRank, CheiRank and 2DRank algorithms have been used to rank articles of the English Wikipedia language edition (May 2017).
    Reduced Google matrix method has been used to infer interactions between articles.
Language : English (eng)
Formats : application/pdf, image/png, image/svg+xml, image/x-eps, text/csv, text/html, text/plain
Audience : General, Research, Stakeholder, Policy maker, Informal Education

Coverages

Spatial coverage :

  • Monde: latitude between 85° N and 85° S, longitude between 180° W and 180° E

Time coverage :

Taxonomic coverage :

  • Species
    Homo sapiens MSW (Human)
Publications :
Projects and funders :

DOI and links

10.25666/DATAOSU-2019-01-25
https://dx.doi.org/doi:10.25666/DATAOSU-2019-01-25
https://search-data.ubfc.fr/FR-18008901306731-2019-01-25

Quotation

José Lages, Dima Shepelyansky, Guillaume Rollin (2019): Wikipedia network analysis of cancer interactions and world influence. UTINAM. doi:10.25666/DATAOSU-2019-01-25

Record created 25 Jan 2019 by José Lages.
Last modification : 20 Sep 2019.
Local identifier: FR-18008901306731-2019-01-25.
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dat@UTINAM

dat@UTINAM is a sub-portal of dat@UBFC, a metadata catalogue for research data produced at UBFC.

Terms of use
République Française
dat@UBFC
dat@UTINAM
Université de Bourgogne, Université de Franche-Comté, UTBM, AgroSup Dijon, ENSMM, BSB, Arts des Metiers