By Mark Levene, Alexandra Poulovassilis
The world-wide-web has develop into a ubiquitous international software, used for locating infor mation, speaking rules, undertaking disbursed computation and carrying out enterprise, studying and technological know-how. the internet is extremely dynamic in either the content material and volume of the knowledge that it encompasses. so one can absolutely make the most its huge, immense strength as a world repository of knowledge, we have to know the way its measurement, topology and content material are evolv ing. This then permits the advance of recent options for finding and retrieving details which are larger in a position to adapt and scale to its swap and progress. The Web's clients are hugely diversified and will entry the internet from various units and interfaces, at varied locations and instances, and for various reasons. We therefore additionally want concepts for personalising the presentation and content material of internet dependent details reckoning on the way it is being accessed and at the particular user's specifications. in addition to being accessed via human clients, the net can also be accessed via appli cations. New purposes in components comparable to e-business, sensor networks, and cellular and ubiquitous computing must be in a position to observe and react fast to occasions and adjustments in Web-based details. conventional methods utilizing query-based 'pull' of data to determine if occasions or adjustments of curiosity have happened is probably not capable of scale to the amount and frequency of occasions and alterations being generated, and new 'push' -based ideas are needed.
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Additional info for Web Dynamics: Adapting to Change in Content, Size, Topology and Use
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Dobra and S. E. Fienberg. How large is the World Wide Web? Computing Science and Statistics - Proceedings aflnterlace 200 I, 33, 200 I. 5. S. E. Fienberg. The multiple recapture census for closed populations and incomplete 2k contingency tables. Biometrika, 59:591-603, 1972. 6. E. Fienberg, M. S. Johnson, and B. W. Junker. Classical multi-level and bayesian approaches to population size estimation using multiple lists. Journal of Royal Statistical Society, 162:383-406, 1999. 7. M. S. Johnson, W.
L. Giles, private communication) Northern Light yes no Lycos Lycos yes no yes no HotBot HotBot HotBot HotBot yes no yes no yes no yes no yes Excite yes Infoseek no Excite AltaVista yes Excite no Infoseek no Excite yes 1 0 2 0 0 0 1 0 no 2 0 :3 2 0 0 0 2 yes 1 0 2 1 0 0 3 4 no 1 :3 0 8 2 0 3 19 yes 0 0 0 1 0 0 0 0 no 0 0 0 0 5 1 yes 0 0 0 0 0 4 22 no 0 0 7 2 :3 :n '? 17 The quality of the analysis we want to perform depends on other factors which might or might not turn out to be significant. Web documents were added, removed, edited, and modified while the experimenters collected the data, hence the search results might also change.
Northern Light had indexed 12M million pages at the time of the experiments, hence Lawrence and Giles approximated that there were tlUO million pages on the indexable Web. The estimation method was similar to the one employed in the previous study. Unfortunately, their analysis was done dynamically and the new data were not retained for possible reanalyses. 2 Bharat and Broder Study In November 1997, Bharat and Broder [21 performed an analysis analogous in many respects to the one carried out by Lawrence and Giles.