Information Studies

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Bibliometrics to Webometrics


Affiliations
1 Central Library, Birla Instimte of Technology, Mesra, Ranchi 835215 Jharkhand., India
2 Department of Library and Information Science, University of Burdwan, Burdwan,W.B., India
3 Department of Library and Information Science, University of Burdwan, Burdwan, W.B., India
     

   Subscribe/Renew Journal


Bibliometrics deals with the quantitative aspects of print documents. Webometrics deals with the application of informetric and other quantitative techniques for the analysis of Web documents. This article briefly describes the trend from bibliometrics to webometrics. Also discusses some important application areas of Webometrics research, the methodology adopted for data collection, techniques and tools of Web analysis and the problems encountered in Webometric research. Methods of computing Web Impact Factors and highlights the research possibility in Webometric study are considered. A webometric case study of 13 Indian Institutes of Technology (IITs) and Indian Institutes of Management (IIMs) is presented. The analysis shows that the IIT, Bombay occupies the first place among the 13 IITs and the IIMs based on both absolute and logarithm values.

Keywords

Bibliometrics, Informetrics, Scientometrics, Webometrics, Cybermetrics, Historical Development, Impact Factors, Indian Institutes of Technology, Indian Institutes of Management, Case Study.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Abraham, R.H (1996). Webometry: measuring the complexity of the World Wide Web. Visual Math Institute. University of California at Santa Cruz. Available at: http://www.ralphabraham.org/vita/redwood/vienna.html

  • Aguillo, I.F. (2002). Cybermetrics: definitions and methods for an emerging discipline. Available at http://www.upmf-grenoble.fr/adest/seminaires/ISIDRO/cybermetrics.ppt

  • Albert, Jeong and Barabasi, A.L. (1999). Diameter of the Worid Wide Web. Nature. 401(9), 130-131.

  • Almind, T.C. and Ingwersen, P. (1996). Informetric Analysis on the World Wide Web: Methodological Approaches to Webometrics. Centre for Informetric studies, Royal School of Library and Information Science (CIS Report 2).

  • Almind, T.C. and Ingwersen, P. (1997). Informetric Analysis on the World Wide Web: Methodological approaches to webometrics. Journal of Documentation, 53(4), 404-426.

  • Bar-Ilan, J. (1997). The "mad cow disease', UseNet, newsgroup and bibliometric laws. Scientrometrics. 39(1), 29-55.

  • Bar-Ilan, J. (2001). Data collection methods on the Web for informetric purpose: a review and analysis. Scientrometrics. 50(1), 7-32.

  • Bergman, M.K. (2000). White paper- the deep web:surfing hidden value (online) Retrieved on Aug 20,2000 from: http://128.121.227.57/download/deepwebwhitepaper.pdf

  • Bjorneborn, L (2004). Small world link stnictures across an academic web space: a library and information science approach. PhD thesis from Department of Information Studies, Royal School of Library and Information Science, Denmark.

  • Bjorneborn, L and Ingwergwn, P (2004). Towards a basic framework for Webometrics. Journal of American Society for Information and Technology. 55(14), 1216-27.

  • Bossy, .J. (1995). The last of the litter: Netometrics. Retrieved on 10 November 2007 from: http://biblio-fr.info.unicaen.fr/bnum/jelec/solaris/d02/2bossy.html.

  • Bradford, S.E. (1934). Sources of information on specific subjects. Engineering, 137(3550); 85-86

  • Bray, T. (1996). Measuring the Web. Fifth International World Wide Web Conference. Paris, France. May 6-10, 1996.

  • Brookes, B. C. (1990). Biblio-, Sciento-, Infor-metrics??? What are we talking about? IN: Egghe, Leo and Rousseau, R., eds. (1990) Informetrics. 89/90, 31-42, Amsterdam: Elsevier.

  • Chakraborty, S., Joshi, M., Punera, K. and Pennock, D.M. (2002). The structure of broad topics on the web. Proceedings of the WWW2002 Conference. Retrieved on 10 November 2007 from http://www2002.org/CDROM/referredy338.

  • Cole, F.J. and Eales, N.B. (1917). History of comparative anatomy: a statistical analysis of literature. Science Progress. 11, 578-596

  • Garfield, E. (1955). Citation indexes for science: a new dimension in documentation through association of ideas. Science. 122 (3159); 108-111.

  • Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178; 471-479.

  • Gross and Gross (1927). College libraries and chemical education. Science, 16; 384-389.

  • Hernandez-Borges, Pareras and Jimenez. (1997). Comparative analysis of paediatric mailing list on the Internet. Paediatrics, 100(2), Retrieved on Nov 10, 2007 from http://www.pediatrics.Org/cig/content/full/100/2/e8.

  • Herring, S.C. (2002). Use of electronic resources in scholarly electronic journals: a citation analysis. College and Research Libraries, 63(4), 334-340.

  • Hulme, E.W. (1923). Statistical bibliography in relation to the growth of modem civilization. London: Grafton

  • Ingwersen, Peter. (1998). The calculation of web impact factor. Journal of Documentation. 4, 236-243.

  • Matzat, U. (1998). Informal academic communication and scientific usage of Internet discussion group. Proceedings IRIS'98 International Conference, Retrieved dated NovlO, 2007 from: http://sosig.ac.uk/iriss/papers/paperI9.htm

  • Mukhopadhyay, P. (2004). Measuring Web Impact Factors: a webometric study based on the analysis of hyperlinks. In. National Seminar on Information Support for Rural Development, India. lASLIC, Dec 2004.

  • Ortega, J.L., Aguillo, 1. and Prieto, J.A. (2006). Longitudinal study of contents and elements in the scientific web environment. Journal of Information Science, 32(4), 344-351

  • Pritchard, A. (1969). Statistical bibliography or Bibliometrics? Journal of Documentation. 25(4), 348-349.

  • Rodriguez Gairin, J.M. (1997). Impact assessment of information on the Internet: AltaVista, the citation index of the Web. Available at: www.kronosdoc.com/ publicacions/altavis.htm,

  • Rousseau, R. (1997). Citation: an exploratory study. Cybermetrics, 1(1), paper-1. Retrieved on 8 November 2000 from: http://cindoc.csis.es/cybermetrics/articles/vlilpl.html.

  • Rousseau, R. (1999). Daily time series of common single word searches in AltaVista or Northemlight. Cybermetrics, 2/3(1), paper-2. Retrieved on August 15, 2000 from: http://cindoc.csis.es/cybermetrics/articles/v2ilp2.html.

  • Smith, A.G. (1998), "A tale of two Web spaces: comparing sites using Web impact factors". Journal of Documentation, 55(5); 577-92.

  • Snyder, H., and Rosenbaum, H. (1999). Can search engines be used as tools for web-link analysis? A critical view. Journal of Documentation. 55,4,375-384

  • Tague-Sutcliffe, J. (1992). An introduction to informetrics. Information Processing and Management, 28 (1); 1-3.

  • Thelwall, M., Vaughan, L. and Bjomebom, L. (2003). Webometrics. ARIST. 39, 81-135

  • Thelwall, M. (2000). Web impact factors and search engine coverage. Journal of Documentation. 56(2), 185-189.

  • Thelwall, M. (2001). Results from a web impact factor crawler. Journal of Documentation, 57(2), 177-191.

  • Thelwall, M. (2002). A comparison of sources of links for academic web impact factor calculation. Journal of Documentation, 58(1), 66-78.

  • Thelwall, M., and Wilkinson, D. (2004). Finding similar academic websites with links, Bibliometrics couplings and co-links. Information Processing and Management. 40(3), 515-526

  • Thomas, O. and Willett, P. (2000). Webometric analysis of departments of librarianship and information science. Journal of Information Science. 26(6), 421-28.

  • Vaughan, L., Kipp, M.E., and Gao, Y. (2007). "Why are websites co-linked? The Case of Canadian universities. Scientometrics, 72(1); 81-92


Abstract Views: 180

PDF Views: 0




  • Bibliometrics to Webometrics

Abstract Views: 180  |  PDF Views: 0

Authors

Samir Kumar Jalal
Central Library, Birla Instimte of Technology, Mesra, Ranchi 835215 Jharkhand., India
Subal Chandra Biswas
Department of Library and Information Science, University of Burdwan, Burdwan,W.B., India
Parthasarathi Mukhopadhyay
Department of Library and Information Science, University of Burdwan, Burdwan, W.B., India

Abstract


Bibliometrics deals with the quantitative aspects of print documents. Webometrics deals with the application of informetric and other quantitative techniques for the analysis of Web documents. This article briefly describes the trend from bibliometrics to webometrics. Also discusses some important application areas of Webometrics research, the methodology adopted for data collection, techniques and tools of Web analysis and the problems encountered in Webometric research. Methods of computing Web Impact Factors and highlights the research possibility in Webometric study are considered. A webometric case study of 13 Indian Institutes of Technology (IITs) and Indian Institutes of Management (IIMs) is presented. The analysis shows that the IIT, Bombay occupies the first place among the 13 IITs and the IIMs based on both absolute and logarithm values.

Keywords


Bibliometrics, Informetrics, Scientometrics, Webometrics, Cybermetrics, Historical Development, Impact Factors, Indian Institutes of Technology, Indian Institutes of Management, Case Study.

References