Website entries from a web log file perspective : a new log file measure

5770 2 2532 1 7927 document 2532 Mayr_full.pdf application/pdf 9900eae3ee6508c7f7275e3f1034839a MD5 156253 2012-12-14 18:18:25 https://eprints.rclis.org/5770/1/Mayr_full.pdf 5770 1 1 application/pdf en public

Mayr_full.pdf

206019 2 212580 document 206019 lightbox.jpg image/png 075cc4f66a5785ad2ed83acd897d16ac MD5 113075 2012-12-21 17:41:39 https://eprints.rclis.org/5770/7/lightbox.jpg 5770 7 7 image/png other Thumbnails conversion from application/pdf to thumbnail_lightbox en public

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

indexcodes.txt

http://eprints.org/relation/isVersionOf https://eprints.rclis.org/id/document/2532 http://eprints.org/relation/isVolatileVersionOf https://eprints.rclis.org/id/document/2532 http://eprints.org/relation/isIndexCodesVersionOf https://eprints.rclis.org/id/document/2532 archive 306 disk0/00/00/57/70 2004-12-20 2014-10-02 12:00:00 2012-12-14 18:18:25 confpaper show Mayr Philipp Website entries from a web log file perspective : a new log file measure pub BB CA Log file analysis, webometrics, metric Web log files record user transactions on webservers and offer due to their extent, their properties and potential an excellent investigation field for contemporary information and online behaviour studies [see also Nicholas et al., 1999]. Web log files actually offer the possibility to extract information about user access pattern, site visibility and site interlinking [see also Thelwall, 2001]. Furthermore web log file are excellent sources for informational investigations such as tracking spider behaviour, search engine query analysis or cognitive ergonomics. A drill down analysis to the smallest website entity (a specific web page) and also to other web entities, like directories or sites [see also Thelwall, 2003] can be performed with log data. This facilitates counting information usage frequencies on different levels of a website and enables new forms of information studies (e.g. finding regularities). Practical website insights for site access optimisation/evaluation are additional guaranteed. Navigation on the web occurs in three separable types. The majority of online navigation is realized over hyperlinks which are set-up manually (e.g. directory entries, other intellectually build backlinks) or automatically (e.g. search engines, other web-based information systems). Direct navigation (e.g. over bookmarks, browser history) coexists between the “link-based” navigation and can be seen as an indication of well-known and perhaps authoritative websites. The three distinguishable web navigation types "navigation about search engine queries", "navigation about backlinks" and "direct navigation" can be separately identified in log data if the webserver provides the extended log file field “referer” [see also Thelwall, 2001]. 2004 University of Wolverhampton, UK 19 September 2004 AoIR-ASIST 2004 Workshop on Web Science Research Methods Brighton (UK) en FALSE DE- http://hdl.handle.net/10760/5770 public TRUE Thelwall Mike Haas, Stephanie; Grams, Erika: Readers, Authors, and Page Structure: A Discussion of Four Questions Arising from a Content Analysis of Web Pages. In: Journal of the American Society for Information Science and Technology, Vol. 51, 2000, S. 181–192. Mayr, Philipp: Entwicklung und Test einer logfilebasierten Metrik zur Analyse von Website Entries am Beispiel einer akademischen Universitäts-Website / von Philipp Mayr. Berlin : Institut für Bibliothekswissenschaft der Humboldt-Universität zu Berlin, 2004, 106 S. - (Berliner Handreichungen zur Bibliothekswissenschaft und Bibliothekarsausbildung ; 129) available: http://www.ib.hu-berlin.de/~kumlau/handreichungen/h129/ (04/2004) Nicholas, David et al.: Developing and testing methods to determine the use of web sites: case study newspapers. In: Aslib Proceedings, Vol. 51, 1999, S. 144-154. Nicholas, David, et al.: Cracking the code: web log analysis. In: Online & CD-ROM Review, Vol. 23, 1999, S. 263-269. Thelwall, Mike: Web log file analysis: Backlinks and Queries. In: Aslib Proceedings, Vol. 53, 2001, S. 217-223. Thelwall, Mike: Methods for reporting on the targets of links from national systems of university Web sites. In: Information Processing and Management, to appear 2003. Thelwall, Mike; Vaughan, Liwen ; Björneborn, Lennart: Webometrics. In: ARIST, Vol. 39, 2004, preprint. info:eu-repo/semantics/other