A longitudinal analysis of search engine index size

Proceedings of ISSI 2015 Istanbul: 15th International Society of Scientometrics and Informetrics Conference

Volumn , Issue , 2015, Pages 71-82

  Van Den Bosch, Antal ^a   Bogers, Toine ^b   De Kunder, Maurice ^c  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b AALBORG UNIVERSITY   (Denmark)

^c De Kunder Internet Media   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BINS; INFORMATION RETRIEVAL; INFORMATION SCIENCE; SEARCH ENGINES; WEBSITES;

DOCUMENT FREQUENCY; LONGITUDINAL ANALYSIS; SEARCH ENGINE INDICES; SEARCH RESULT QUALITIES;

WORLD WIDE WEB;

EID: 84991063615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. Almind, T.C. & Ingwersen, P. (1997). Informetric analyses on the World Wide Web: Methodological approaches to 'Webometrics'. Journal of Documentation, 53, 404-426.
2. Anagnostopoulos, A., Broder, A. & Carmel, D. (2006). Sampling search-engine results. In Proceedings of WWW '06, (pp. 397-429). New York, NY, USA: ACM Press.
3. Bar-Ilan, J. (1999). Search engine results over time: a case study on search engine stability. Cybermetrics, 2, 1.
4. Bar-Ilan, J. (2004). The use of Web search engines in information science research. Annual Review of Information Science and Technology, 38, 231-288.
5. Bar-Ilan, J., Mat-Hassan, M. & Levene, M. (2006). Methods for comparing rankings of search engine results. Computer Networks, 50, 1448-1463.
6. Bar-Yossef, Z. & Gurevich, M. (2006). Random sampling from a search engine's index. In Proceedings of WWW '06 (pp. 367-376). New York, NY, USA: ACM Press.
7. Bar-Yossef, Z. & Gurevich, M. (2011). Efficient search engine measurements. ACM Transactions on the Web, 5, 1-48.
8. Bharat, K. & Broder, A. (1998). A technique for measuring the relative size and overlap of public web search engines. In Proceedings of WWW '98 (pp. 379-388). New York, NY, USA: ACM Press.
9. Björneborn, L. (2004). Small-World Link Structures across an Academic Web Space: A Library and Information Science Approach. PhD thesis, Royal School of Library and Information Science.
10. Dobra, A. & Fienberg, S.E. (2004). How large is the World Wide Web? In Web Dynamics (pp. 23-43). Berlin: Springer.
11. Fetterly, D., Manasse, M. & Najork, M. (2005). Detecting phrase-level duplication on the World Wide Web. In Proceedings of SIGIR '05 (pp. 170-177). New York, NY, USA: ACM Press.
12. Fetterly, D., Manasse, M. & Najork, M. (2004). Spam, damn spam, and statistics: Using statistical analysis to locate spam Web pages. In Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004 (pp. 1-6).
13. Gulli, A. & Signorini, A. (2005). The indexable Web is more than 11.5 billion pages. In Proceedings of WWW '05 (pp. 902-903). New York, NY, USA: ACM Press.
14. Henzinger, M., Heydon, A., Mitzenmacher, M. & Najork, M. (2000). On near-uniform URL sampling. Computer Networks, 33, 295-308.
15. Hirate, Y., Kato, S. & Yamana, H. (2008). Web structure in 2005. In Aiello, W., Broder, A., Janssen, J. & Milios, E. (Eds.) Algorithms and Models for the Web-Graph, vol. 4936, Lecture Notes in Computer Science, (pp. 36-46). Berlin: Springer.
16. Khelghati, M., Hiemstra, D. & Van Keulen, M. (2012). Size estimation of non-cooperative data collections. In Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services (pp. 239-246). New York, NY, USA: ACM Press.
17. Kilgarriff, A. & Grefenstette, G. (2003). Introduction to the special issue on Web as corpus. Computational Linguistics, 29.
18. Kilgarriff, A. (2007). Googleology is bad science. Computational Linguistics, 33, 147-151.
19. Kleinberg, J.M., Kumari, R., Raghavan, P., Rajagopalan, S. & Tomkins, A.S. (1999). The Web as a Graph: Measurements, Models, and Methods. In COCOON '99: Proceedings of the 5th Annual International Conference on Computing and Combinatorics (pp. 1-17). Berlin: Springer.
20. Koehler, W. (2004). A longitudinal study of Web pages continued: a report after six years. Information Research, 9. http://www.informationr.net/ir/9-2/paper174.html.
21. Lawrence, S. & Giles, C.L. (1998). Searching the World Wide Web. Science, 280, 98-100.
22. Lawrence, S. & Giles, C.L. (1999). Accessibility of Information on the Web. Nature, 400, 107-109.
23. Lewandowski, D. & Höchstötter, N. (2008). Web searching: a quality measurement perspective. In Spink, A. & Zimmer, M. (Eds.) Web Search, vol. 14, Information Science and Knowledge Management (pp. 309-340). Berlin: Springer.
24. Payne, N. & Thelwall, M. (2008). Longitudinal trends in academic Web links. Journal of Information Science, 34, 3-14.
25. Rousseau, R. (1999). Daily time Series of common single word searches in AltaVista and NorthernLight. Cybermetrics, 2, 1.
26. Spink, A., Jansen, B.J., Kathuria, V. & Koshman, S. (2006). Overlap among major Web search engines. Internet Research, 16, 419-426.
27. Thelwall, M. (2008). Quantitative comparisons of search engine results. Journal of the American Society for Information Science and Technology, 59, 1702-1710.
28. Thelwall, M. (2009). Introduction to Webometrics: Quantitative Web Research for the Social Sciences. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1, pp. 1-116.
29. Thelwall, M. & Sud, P. (2012). Webometric research with the Bing search API 2.0. Journal of Informetrics, 6, 44-52.
30. Turtle, H. & Flood, J. (1995). Query evaluation: Strategies and optimizations. Information Processing & Management, 31, 831-850.
31. Uyar, A. (2009). Investigation of the accuracy of search engine hit counts. Journal of Information Science, 35, 469-480.
32. Zimmer, M. (2010). Web Search Studies: Multidisciplinary Perspectives on Web Search Engines. In Hunsinger, J., Klastrup, L. & Allen, M. (Eds.) International Handbook of Internet Research (pp. 507-521). Berlin: Springer.
33. Zipf, G.K. (1949). Human Behaviour and the Principle of Least Effort; Reading, MA: Addison-Wesley.