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8/3/2019 Webometrics Ranking of World Universities
1/21
www.webometrics.info
WEBOMETRICS RANKING OF
WORLD UNIVERSITIES
1 Isidro F. Aguillo
Cybermetrics Lab (CSIC), Madrid, Spain
3rd Meeting of the International Rankings Expert Group (IREG-3)
Shanghai Jiao Tong University, October 28 - 31, 2007
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AGENDA
New role of the Web in the scholarly communication
Rankings: advantages and disadvantages
Collecting Web data and building indicators
Cover age: Not only World-Class Universities
Search engines, the new intermediaries
Institutional web domain: uses and abuses
WR, the combined indicator
The Ranking: Current results and future developments
Structure of the ranking Problems: Gaps, duplicates, extra indicators
Results: Correlation
Success? Expected and actual visitors
Academic digital divide
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ABOUT US
CSIC, Spanish National Research Council
The largest public research body in Spain
126 institutes devoted mainly to basic science
20% of the total Spanish scientific output
2 Nobel Prizes
Cybermetrics Lab
Research groupat Center ofScientific Information and Documentation
Editors of e-journal Cybermetrics
EU projects EICSTES and WISER
MAVIR network Consulting services to universities
Staff: Coordinator, 4 PhD, 1 technicians
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ABOUT THE RANKING
Primary objective was not to rank institutions
Promote web publication
Support Open Access initiatives
Current design
Larger coverage than other similar Rankings Including developing countries institutions
Not focusing only in research results
Activity, visibility, impact, prestige, and quality better reflected in
the Web presence
Paying attention to Web bad practices
Web Publish or Perish
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IMPORTANCE OF THE WEB PRESENCE
The new Academic global market Increased mobility ofprofessors and alumni
International competition forhuman resources and funding
Getting prestige and visibility in the digital world
Web is the best showcase for Universities All missions covered: teaching+research+transfer
Intangibles and the web contents
Freedom of teaching
Self-organisation and maturity
Access to resources
Scholarly (formal and informal) communication Universal target groups
Colleagues all over the world
Prospective students worldwide
Economic interested stakeholders
Gener al (huge) audiences
Richerand diversified contents at cheaper costs
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METRICS OF THE WEB
Contents size Correlated with the knowledge production capabilities of the institution
number ofpotential authors (faculty members, staff, alumni)
available (access to) resources
internal and external policies
Quality resources Difficult criteria
authoritativeness of the scholars (university)
peer review 2.0
formats (file types), language (lingua franca)
Visibility Hypertext links networks
New motivations, many linkers (siters)
Open versus Closed (international) impact
Popularity Users, visits, behavior, evolution, referrers
Methodological problems (global comparison no feasible)
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RANKINGS: ADVANTAGES AND SHORTCOMINGS
Advantages Combine many variables
Even heterogeneous variables
Easy to understand
Temporal series
Disadvantages Simplistic
Weighting usually arbitrary
Potential users undefined
Rankings in the Web PageRankalgorithm (ranking web pages by a weighted visibility indicator) is
key for explaining the success of Google search engine
TrafficRank: Ranking of web domains according to the number of visits
intercepted by the Alexa system
Model for a combined indicator Webometrics Rank (derived from Web Impact Factor)
Visibility:Size (1:1)
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WORLD RANKINGS
Biases in the indicators Focus on research (bibliometric data)
Limited info (lack of standardization) about inputs (personnel, funding) Reputation is very subjective, dependent ofpopulation surveyed
University is a complex, multifaceted institution Web indicators reflects teaching, researchand knowledge transfer missions
But, they do not measure them separately
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WEBOMETRICS RANKING
First published in 2004 Since 2006, two editions (January and July)
World coverage
Higher education Institutions (mostly universities): +13,000 (Jul07)
R&D related institutions (mostly research centers): +4,500 (Jul07)
Web indicators Only institutions withan independent web domain
univname.edu not hosting.edu/univname (except Helsinki University)
Data from search engines (web visibility intermediaries)
Indicators used in the calculation of the combined indicator WR
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METHODOLOGY
Normalization
log (na+1) N: search engine (Google, Yahoo, Live, Exalead)
Na= ----------------------------- a: web domain
log (max(ni)+1)
Median method (Size)
Sa= * ((Ga + Ya + La +Ea) max (Ga,Ya,La,Ea) - min (Ga,Ya,La,Ea))
Rich files
Ra= PDFa+ DOCa + PPTa + Psa
Ranking
Sa -> Ra(S)
Ra -> Ra(R) Va -> Ra(V) 1:1 WR= (4*V) + (2*S+1*R+1*Sc)
Sca -> Ra(Sc)
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EXPECTED RESULTS
North America
Stanford University (1st region & world), MIT (2nd), University of California,Berkeley (3th) and Harvard University (4th)
University of Toronto (28th world)
Europe Cambridge (1st region), Oxford (2nd), Zurich (3rd)
Asia/Pacific
Tokyo (59th world), Australian National (60th), National Taiwan (96th), NewSouth Wales (112th), Kyoto (116th) and Beijing (120th) universities
Latin America Universidad Nacional Autnoma de Mxico (68th world)
Universidade de Sao Paulo (128th world)
100 200 500 1000
.PDF 38400 25500 10200 3980
.DOC 6600 4530 2480 1330
.PPT 2460 1600 699 338
.PS 2520 1120 214 33
SCHOLAR 6560 3890 1370 438
Number of files in rank
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UNEXPECTED RESULTS
Up
PennsylvaniaState University (5th world) CiteSeer, index of computerand information science papers
University of Wisconsin, Madison (8th world)
Internet Scout Project
Linkoping University (8th Europe, 62nd world)
Lysator, the Academic ComputerSociety
Universitat Trier (9th
Europe, 64th
world) DBLP, ComputerScience Bibliography
Down Cornell University (7th world)
Arxiv (www.arxiv.org, not under cornell.edu)
Yale University (35th world)
Princeton University (38th
world) California Institute of Technology (42th world)
Jet Propulsion Laboratory (jpl.nasa.gov, not under caltech.edu)
Johns Hopkins University (72th world)
School of Medicine (hopkinsmedicine.org, not under jhu.edu)
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BAD PRACTICES
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100 200 500 1000
AFRICA 47 1 5 514
ASIA 45 2 8 33 101 3,474Japan 1 3 12 37 579
China 1 5 20 897
Taiwan 1 1 7 16 88
OCEANIA 8 1 6 17 34 98
Australia 1 6 15 28 53
EUROPE 52 20 65 222 407 3,966
Germany 4 20 52 70 371
United Kingdom 4 11 39 67 226
France 12 41 576
LATINAMERICA 33 1 2 9 25 2,796
Brazil 1 5 13 1,591
NORTH AMERICA 6 76 119 218 428 2,195
USA 68 104 191 389 1,996
Canada 8 15 27 39 195
WORLD 191 100 200 500 1000 13,043
REGIONS/COUNTRIESTOP POSITIONS
TOTAL
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COMPARATIVE ANALYSIS: TOP 200
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COMPARATIVE ANALYSIS: TOP 500
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ACADEMIC DIGITAL DIVIDE
Number of universities by country in the Top 200 of the Webometrics Ranking (July 2007)
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REGIONAL DISTRIBUTION
Number of universities by region in the Webometrics Ranking (July 2007)
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LESSONS
Webometrics is the only academic ranking that provides indicators for
universities worldwide and not only the World- Class ones
Information provided could be useful to increase the commitment to
electronic publication, guiding the Web policies and therefore
improving Web presence and visibility
Web rank is probably highly related to the global level of activities,prestige and overall performance of the university
Web indicators are not able to discriminate relative contributions but
they are a reliable and feasible way to describe the full picture
Results shown that there is an unexpected academic digital divide as topEuropean and Japanese universities appear in delayed positions when
comparing with their North American counterparts
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THANKYOU!QUESTIONS?
ISIDRO F. AGUILLO, JOS L. ORTEGA, MARIO FERNNDEZ
CYBERMETRICS LABCINDOC-CSICJOAQUN COSTA, 2228002 MADRIDESPAA
WWW.WEBOMETRICS.INFO
E-MAIL: [email protected]