Visualising web visitations: A probabilistic approach

Geoff Ellis; Alan Dix

doi:10.1109/IV.2004.1320204

Visualising web visitations: A probabilistic approach

Geoff Ellis^*
, Alan Dix

^*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl Cynhadledd › adolygiad gan gymheiriaid

3 Dyfyniadau (Scopus)

Crynodeb

This paper presents a technique, the Quantum Web Field, designed to give an ambient visualisation of the current activity on a web site. It uses the paths of past visitors to the site and a self-organising map to build a diffuse 'probabilistic' mapping of pages to cells in a 2D matrix, where highly traversed page-links tend to be closer to each other. The paths of current visitors appear as intelligible trails giving a sense of purposeful human activity rather than offering detailed analysis. The visualisation is not constrained by either the complexity or the number of pages in the site.

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	599-604
Nifer y tudalennau	6
Cyfnodolyn	Proceedings of the International Conference on Information Visualization
Cyfrol	8
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/IV.2004.1320204
Statws	Cyhoeddwyd - 9 Awst 2004
Cyhoeddwyd yn allanol	Ie
Digwyddiad	Proceedings - Eighth International Conference on Information Visualisation, IV 2004 - London, Y Deyrnas Unedig Hyd: 14 Gorff 2004 → 16 Gorff 2004

Mynediad at Ddogfen

10.1109/IV.2004.1320204

Ffeiliau eraill a chysylltiadau

Dolen i’r cyhoeddiad yn Scopus

Dyfynnu hyn

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AB - This paper presents a technique, the Quantum Web Field, designed to give an ambient visualisation of the current activity on a web site. It uses the paths of past visitors to the site and a self-organising map to build a diffuse 'probabilistic' mapping of pages to cells in a 2D matrix, where highly traversed page-links tend to be closer to each other. The paths of current visitors appear as intelligible trails giving a sense of purposeful human activity rather than offering detailed analysis. The visualisation is not constrained by either the complexity or the number of pages in the site.

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