article

Longitudinal trends in academic web links

Authors:

Mike ThelwallAuthors Info & Claims

Journal of Information Science, Volume 34, Issue 1

Pages 3 - 14

https://doi.org/10.1177/0165551507079417

Published: 01 February 2008 Publication History

Abstract

Longitudinal studies of web change are needed to assess the stability of webometric statistics and this paper forms part of an on-going longitudinal study of three national academic web spaces. It examines the relationship between university inlinks and research productivity over time and identifies reasons for individual universities experiencing significant increases and decreases in inlinks over the last six years. The findings also indicate that between 66 and 70% of outlinks remain the same year on year for all three academic web spaces, although this stability conceals large individual differences. Moreover, there is evidence of a level of stability over time for university site inlinks when measured against research productivity. Surprisingly, however, inlink counts can vary significantly from year to year for individual universities, for reasons unrelated to research which undermines their use in webometrics studies.

References

[1]

M. Thelwall, A free database of university web links data collection issues, Cybermetrics 6/7 (2002/3). Available at: www.cindoc.csic.es/cybermetrics/articles/v6i1p2.pdf (accessed 26 November 2006).

[2]

A. Smith and M. Thelwall, Web impact factors for Australasian universities, Scientometrics 54(3) ( 2002) 363—80.

[3]

X. Li, M. Thelwall, P. Musgrove and D. Wilkinson, The relationship between the WIFs or inlinks of computer science departments in the UK and their RAE ratings or research productivities in 2001, Scientometrics 57(2) (2003) 239—55.

[4]

M. Thelwall and G. Harries, Do better scholars' web publications have significantly higher online impact? Journal of the American Society for Information Science and Technology 55(2) (2004) 149—59.

Digital Library

[5]

W. Koehler, Classifying web sites and web pages: the use of metrics and URL characteristics as markers, Journal of Librarianship and Information Science 31(1) ( 1999) 297—307.

[6]

J. Cho and H. Garcia-Molina, Estimating frequency of change, ACM Transactions on Internet Technology 3(3) (2003) 256—90.

Digital Library

[7]

J.L. Ortega, I. Aguillo and J.A. Prieto, Longitudinal study of contents and elements in the scientific web environment, Journal of Information Science 32(4) (2005) 344—51.

[8]

A.G. Smith, A tale of two web spaces: comparing sites using web impact factors, Journal of Documentation 55(5) (1999) 577—92.

[9]

M. Thelwall, Extracting macroscopic information from web links, Journal of the American Society for Information Science and Technology 52(13) (2001) 1157—68.

Digital Library

[10]

M. Thelwall, and R. Tang, Disciplinary and linguistic considerations for academic web linking: an exploratory hyperlink mediated study with mainland China and Taiwan, Scientometrics 58(1) (2003) 155—81.

[11]

P. Ingwersen, The calculation of web impact factors, Journal of Documentation 54(2) (1998) 236—43.

[12]

M. Thelwall, Web use and peer interconnectivity metrics for academic web sites, Journal of Information Science 29(1) (2003) 1—10.

[13]

M. Thelwall, A research and institutional size based model for national university website interlinking, Journal of Documentation 58(6) ( 2002) 683—94.

[14]

M. Thelwall, Evidence for the existence of geographic trends in university website interlinking, Journal of Documentation 58(5) ( 2002) 563—74.

[15]

G. Heimeriks and P. Van Den Besselaar, Analysing hyperlinks networks: the meaning of hyperlink based indicators of knowledge production, Cybermetrics 10(1) (2006). Available at: www.cindoc.csic.es/cybermetrics/articles/v10i1p1.pdf (accessed 26 November 2006).

[16]

W. Koehler, An analysis of web page and web site constancy and permanence, Journal of the American Society for Information Science 50(2) (1999) 162—80.

Digital Library

[17]

W. Koehler, Web page change and persistence — 4 year longitudinal web study, Journal of the American Society for Information Science and Technology 53(2) (2002) 162—71.

Digital Library

[18]

W. Koehler, A longitudinal study of web pages continued: a consideration of document persistence, Information Research 9(2) ( 2004). Available at: http://InformationR.net/ir/9—2/paper174.html (accessed 26 November 2006).

[19]

D. Fetterly, M. Manasse, M. Najork and J. Wiener, A large scale study of the evolution of web pages, Software: Practice and Experience 34(2) (2004) 213—37.

[20]

J. Bar-Ilan, Search engine results over time: a case study on search engine stability, Cybermetrics 2/3 (1999). Available at: www.cindoc.csic.es/cybermetrics/articles/v2i1p1.html (accessed 12 January 2007).

[21]

J. Bar-Ilan, Methods for measuring search engine performance over time, Journal of the American Society for Information Science and Technology 53(4) (2002) 308—19.

Digital Library

[22]

J. Bar-Ilan and B.C. Peritz, Evolution, continuity and disappearance of documents on a specific topic on the web: a longitudinal study of `informetrics', Journal of the American Society for Information Science and Technology 55(11) (2004) 980—90.

[23]

M. Thelwall, A web crawler design for data mining, Journal of Information Science 27(5) (2001) 319—25.

[24]

Mayfield University Consultants, League Tables 2001, The Times Higher Education Supplement May 18 T2-T3 (2001).

[25]

Noble Publishing, Noble's Higher Education Financial Yearbook 1999 (Noble Publishing, Edinburgh, 1999).

[26]

L. Vaughan, Statistical Methods for the Information Professional: a Practical, Painless Approach to Understanding, Using, and Interpreting Statistics, (Information Today, Medford, NJ, 2001). {ASIST Monograph Series}

[27]

N. Payne and M. Thelwall, A longitudinal study of academic webs: growth and stabilisation, Scientometrics 71(3) (2007) 523—39.

[28]

D. Wilkinson, G. Harries, M. Thelwall and E. Price, Motivations for academic web site interlinking: evidence for the web as a novel source of information on informal scholarly communication, Journal of Information Science 29(1) (2003) 49—56.

[29]

J. Bar-Ilan, A microscopic link analysis of academic institutions within a country — the case of Israel, Scientometrics 59(3) ( 2004) 391—403.

[30]

E. Vasileiadou and P. Van Den Besselaar, Linking shallow, linking deep: how scientific intermediaries use the web for their network of collaborators, Cybermetrics 10(1) (2006). Available at: www.cindoc.csic.es/cybermetrics/articles/v10i1p4.html (accessed 18 February 2007).

[31]

B.E. Brewington and G. Cybenko, How dynamic is the web? Computer Networks 33(1—6) (2000) 257—76.

[32]

M. Thelwall, Conceptualising documentation on the web: an evaluation of different heuristic-based models for counting links between university web sites, Journal of the American Society for Information Science and Technology 53(12) (2002) 995—1005.

Digital Library

Cited By

Paris MJäschke RSalter ABarber JGadiraju U(2020)How to Assess the Exhaustiveness of Longitudinal Web ArchivesProceedings of the 31st ACM Conference on Hypertext and Social Media10.1145/3372923.3404836(85-89)Online publication date: 13-Jul-2020
https://dl.acm.org/doi/10.1145/3372923.3404836
Bosch ABogers TKunder M(2016)Estimating search engine index size variabilityScientometrics10.1007/s11192-016-1863-z107:2(839-856)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1007/s11192-016-1863-z
Oguz FKoehler W(2016)URL decay at year 20Journal of the Association for Information Science and Technology10.1002/asi.2356167:2(477-479)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1002/asi.23561
Show More Cited By

Index Terms

Longitudinal trends in academic web links
1. Applied computing
  1. Enterprise computing
2. Information systems
  1. Information storage systems
    1. Storage architectures
      1. Storage network architectures
  2. World Wide Web
    1. Web applications
    2. Web services

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cover image Journal of Information Science

Journal of Information Science Volume 34, Issue 1

February 2008

124 pages

ISSN:0165-5515

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Sage Publications, Inc.

United States

Publication History

Published: 01 February 2008

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Cited By

Paris MJäschke RSalter ABarber JGadiraju U(2020)How to Assess the Exhaustiveness of Longitudinal Web ArchivesProceedings of the 31st ACM Conference on Hypertext and Social Media10.1145/3372923.3404836(85-89)Online publication date: 13-Jul-2020
https://dl.acm.org/doi/10.1145/3372923.3404836
Bosch ABogers TKunder M(2016)Estimating search engine index size variabilityScientometrics10.1007/s11192-016-1863-z107:2(839-856)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1007/s11192-016-1863-z
Oguz FKoehler W(2016)URL decay at year 20Journal of the Association for Information Science and Technology10.1002/asi.2356167:2(477-479)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1002/asi.23561
Orduna-Malea EAyllón JMartín-Martín ADelgado López-Cózar E(2015)Methods for estimating the size of Google ScholarScientometrics10.1007/s11192-015-1614-6104:3(931-949)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1007/s11192-015-1614-6
Hale SYasseri TCowls JMeyer ESchroeder RMargetts HMenczer FHendler JDutton WStrohmaier MMeyer ECattuto C(2014)Mapping the UK webspaceProceedings of the 2014 ACM conference on Web science10.1145/2615569.2615691(62-70)Online publication date: 23-Jun-2014
https://dl.acm.org/doi/10.1145/2615569.2615691
Bar-Ilan JPeritz B(2009)A method for measuring the evolution of a topic on the Web: The case of “informetrics”Journal of the American Society for Information Science and Technology10.5555/1598884.159889060:9(1730-1740)Online publication date: 1-Sep-2009
https://dl.acm.org/doi/10.5555/1598884.1598890

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