Estimating the evolution of categorized web page populations

Authors:
Ioannis Anagnostopoulos;Photis Stavropoulos;Georgios Kouzas;Christos Anagnostopoulos;Dimitrios D. Vergados
Affiliations:
University of the Aegean, Samos - Greece;Nat. Technical University of Athens, Athens - Greece;Nat. Technical University of Athens, Athens - Greece;University of the Aegean, Samos - Greece;University of the Aegean, Samos - Greece
Venue:
ICWE '06 Workshop proceedings of the sixth international conference on Web engineering
Year:
2006

Citing 6
Cited 0

On power-law relationships of the Internet topology

Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
On near-uniform URL sampling

Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Difficulties in simulating the internet

IEEE/ACM Transactions on Networking (TON)
Modeling Business Media Platforms

HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
A large-scale study of the evolution of web pages

Software—Practice & Experience - Special issue: Web technologies
Computing the unmeasured: an algebraic approach to Internet mapping

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a statistical approach for estimating the evolution of categorized web pages. The proposal is based on the capture-recapture method used in wildlife biological studies and it is modified according to the necessary assumptions and amendments for applying the experiments on the web, where web pages are considered as animals and the specific types of e-commerce pages as particular species of animals whose abundance, birth and survival rates is estimated. An artificial classifier capable of categorizing web pages, plays the role of the biologist who recognizes the species under study. Finally, a virtual experiment in the e-commerce field was simulated and the derived results were quite promising especially as far as the estimations of the survival probability values are concerned.