Dataset : Wikipedia Ranking of World Universities 2017

General metadata

Identifiers :

local : FR-18008901306731-2019-01-10 external : doi:10.25666/DATAOSU-2019-01-10

Description :

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 gives overlap of 60% for top 100 universities showing that WRWU gives more significance to their historical development. We show that the new reduced Google matrix algorithm allows to determine interactions between leading universities on a scale of ten centuries. This approach also determines the influence of specific universities on world countries. We also compare different cultural views of Wikipedia editions on significance and influence of universities.

Disciplines :

computer science, information systems (engineering science), humanities, multidisciplinary (humanities), physics, mathematical (physics), cultural studies (social sciences), multidisciplinary sciences

Keywords :

complex networks, directed networks, markovian processes, scale free networks, scientometry, theorical physics, universities, Wikipedia, World Wide Web

Dates :

Data acquisition : from 1 May 2017 to 31 May 2017

Data provision : 2 Jun 2018

Metadata record : Creation : 10 Jan 2019 Update : 18 Mar 2019

Language : English (eng)

Audience : General, Research, Stakeholder, Policy maker

Access to data

Rights

Collection	Complex directed networks
Version	WRWU ↓ WRWU17

Quotation

José Lages, Dima Shepelyansky, Célestin Coquidé (2018): Wikipedia Ranking of World Universities 2017. UTINAM. doi:10.25666/DATAOSU-2019-01-10

Coverages

Spatial coverage :

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

Time coverage :

2017

Administrative metadata

Data creators : José Lages ^[1] ^[2], Dima Shepelyansky ^[3], Célestin Coquidé ^[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)

Publisher : Institut UTINAM (UMR 6213)

Label : Initiative pour le SITE Bourgogne Franche-Comté

Science contact : José Lages

Computing contact : José Lages

Projects and funders :

ApliGoogle
- Mission pour l’interdisciplinarité / Défi MASTODONS (CNRS)
APEX - Analyse Physique des résEaux compleXes
- Projet recherche, financement 2017 (Region Bourgogne Franche-Comté)
GNETWORKS - Google matrix analysis of real complex networks
- I-SITE UBFC (COMUE UBFC)

Access : available

Technical metadata

Formats : application/pdf, image/png, image/x-eps, text/csv, text/html

Data acquisition methods :

Derived or compiled data :
Web crawling of Wikipedia editions (May 2017) to retrieve information about universities (year of foundation, location, ...).
Simulation or computational data :
PageRank, CheiRank and 2DRank algorithms have been used to rank articles within each of the 24 Wikipedia language editions (May 2017).
Reduced Google matrix method has been used to infer interaction between articles.

Datatype : Dataset

Publications

World influence and interactions of universities from Wikipedia networks (doi:10.1140/epjb/e2018-90532-7)