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Scientometrics

, Volume 102, Issue 3, pp 2247–2253 | Cite as

The hw-rank: an h-index variant for ranking web pages

  • Judit Bar-Ilan
  • Mark Levene
Article

Abstract

We introduce a novel ranking of search results based on a variant of the h-index for directed information networks such as the Web. The h-index was originally introduced to measure an individual researcher’s scientific output and influence, but here a variant of it is applied to assess the “importance” of web pages. Like PageRank, the “importance” of a page is defined by the “importance” of the pages linking to it. However, unlike the computation of PageRank which involves the whole web graph, computing the h-index for web pages (the hw-rank) is based on a local computation and only the neighbors of the neighbors of the given node are considered. Preliminary results show a strong correlation between ranking with the hw-rank and PageRank, and moreover its computation is simpler and less complex than computation of the PageRank. Further, larger scale experiments are needed in order to assess the applicability of the method.

Keywords

hw-Rank h-Index PageRank Ranking of search results 

Notes

Acknowledgments

The authors thank Chatzimichalis Konstantinos for carrying out the comparisons between the hw-index and PageRank while studying at Birkbeck University of London.

References

  1. Bar-Ilan, J. (2010a). Rankings of information and library science journals by JIF and by h-type indices. Journal of Informetrics, 4, 141–147.CrossRefGoogle Scholar
  2. Bar-Ilan, J. (2010b). The WIF of Peter Ingwersen’s website. In B. Larsen, J. W. Schneider and F. Åström (Eds.) The Janus Faced Scholar: A Festschrift in honour of Peter Ingwersen (pp. 119–125). Retrieved from http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=1632623&fileOId=1632624.
  3. Bornmann, L., & Daniel, H.-D. (2009). The state of h-index research. EMBO Reports, 10(1), 2–6.CrossRefGoogle Scholar
  4. Braun, T., Glänzel, W., & Schubert, A. (2006). A Hirsch-type index for journals. Scientometrics, 69(1), 169–173.CrossRefGoogle Scholar
  5. Brin, S., & Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30, 107–117.CrossRefGoogle Scholar
  6. Carrière, S. J., & Kazman, R. (1997). WebQuery: Searching and visualizing the Web through connectivity. Computer Networks and ISDN Systems, 29(8–13), 1257–1267.CrossRefGoogle Scholar
  7. Costas, R., & Bordons, M. (2007). The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level. Journal of Informetrics, 1(3), 193–203.CrossRefGoogle Scholar
  8. Egghe, L. (2006). Theory and practise of the g-index. Scientometrics, 69(1), 131–152.CrossRefMathSciNetGoogle Scholar
  9. eigenfactor.org (2008). Eigenfactor™ score and article influence™ score: Detailed methods. Retrieved from http://www.eigenfactor.org/methods.pdf.
  10. Fortunato, S., Boguňá, M., Flammini, A., & Menczer, F. (2008). Approximating PageRank from in-degree. Algorithms and models for the web graph. WAW 2006. Lecture Notes in Computer Science, 4936, 59–71.CrossRefGoogle Scholar
  11. Garfield, E. (1973). Citation frequency as a measure of research activity and performance. Essays of an Information Scientist, 1, 406.Google Scholar
  12. Glänzel, W. (2006). On the opportunities and limitations of the h-index. Science Focus, 1(1), 10–11. English version retrieved from http://eprints.rclis.org/9378/1/H_Index_opprtunities.pdf.
  13. Google. (2010). Corporate information: Technology overview. Retrieved from https://web.archive.org/web/20100419191933/http://www.google.com/intl/en_uk/corporate/tech.html.
  14. Guerrero-Bote, V. P., & Moya-Anegón, F. (2012). A further step forward in measuring journals’ scientific prestige: The SJR2 indicator. Journal of Informetrics, 6, 674–688.CrossRefGoogle Scholar
  15. Guns, R., & Rousseau, R. (2009). Real and rational variants of the h-index and the g-index. Journal of Informetrics, 3, 64–71.CrossRefGoogle Scholar
  16. Gyöngyi, Z, & Garcia-Molina, H. (2005). Link spam alliances. In Proceedings of the 31st international conference of very large databases (VLDB), pp. 517–528.Google Scholar
  17. Hauke, J., & Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlations on the same sets of data. Quaestiones Geographicae, 30(2), 87–93.CrossRefGoogle Scholar
  18. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences (PNAS), 102(46), 16569–16572.CrossRefGoogle Scholar
  19. Ingwersen, P. (1998). The calculation of web impact factors. Journal of Documentation, 54(2), 236–243.CrossRefGoogle Scholar
  20. Katz, L. (1953). A new status index derived from sociometric analysis. Psychometrika, 18(1), 39–43.CrossRefMATHGoogle Scholar
  21. Kleinberg, J. M. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5), 604–632.CrossRefMATHMathSciNetGoogle Scholar
  22. Korn, A., Schubert, A., & Telcs, A. (2009). Lobby index in networks. Physica A, 388, 2221–2226.CrossRefGoogle Scholar
  23. Moed, H. F. (2005). Citation analysis in research evaluation. Dortrecht: Springer.Google Scholar
  24. Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: Bringing order to the Web. Technical report, Stanford InfoLab. Retrieved from http://ilpubs.stanford.edu:8090/422/.
  25. Pinski, G., & Narin, F. (1976). Citation influence for journal aggregates of scientific publications: Theory, with application to the literature of physics. Information Processing and Management, 12, 297–312.CrossRefGoogle Scholar
  26. Ruane, F., & Tol, R. S. J. (2008). Rational (successive) h-indices: An application to economics in the Republic of Ireland. Scientometrics, 75(2), 395–405.CrossRefGoogle Scholar
  27. Salton, G., & McGill, M. J. (1986). Introduction to modern information retrieval. New York: McGraw Hill.Google Scholar
  28. Schubert, A. (2009). Using the h-index for assessing single publications. Scientometrics, 78(3), 559–565.CrossRefGoogle Scholar
  29. SCImago (2007). SJRSCImago journal & country rank. Retrieved from http://www.scimagojr.com.
  30. Thelwall, M. (2006). Interpreting social science link analysis research: A theoretical framework. Journal of the American Society for Information Science and Technology, 57(1), 60–68.CrossRefGoogle Scholar
  31. Upstill, T., Craswell, N., & Hawking, D. (2003). Predicting fame and fortune: PageRank or indegree? In Proceedings of the 8th Australasian document computing symposium. Retrieved from http://131.107.65.14/pubs/65254/upstill_adcs03.pdf.
  32. Van Raan, A. F. J. (2006). Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups. Scientometrics, 67(3), 491–502.CrossRefGoogle Scholar
  33. West, J. D., Bergstrom, T. C., & Bergstrom, C. T. (2010). The Eigenfactor™ metrics: A network approach to assessing scholarly journals. College and Research Libraries, 71(3), 236–244.CrossRefGoogle Scholar
  34. Google (n. d.). Facts about Google and competition. Retrieved from http://www.google.com/competition/howgooglesearchworks.html.
  35. Zhao, S. X., Rousseau, R., & Ye, F. Y. (2011). h-degree as a basic measure in weighted networks. Journal of Informetrics, 5, 668–677.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2014

Authors and Affiliations

  1. 1.Department of Information ScienceBar-Ilan UniversityRamat GanIsrael
  2. 2.Department of Computer Science and Information SystemsBirkbeck University of LondonLondonUK

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