DocumentCode :
2131892
Title :
Temporal Evolution of the UK Web
Author :
Bordino, Ilaria ; Boldi, Paolo ; Donato, Debora ; Santini, Massimo ; Vigna, Sebastiano
Author_Institution :
Sapienza Univ. di Roma, Rome
fYear :
2008
fDate :
15-19 Dec. 2008
Firstpage :
909
Lastpage :
918
Abstract :
Recently, a new temporal dataset has been made public: it is made of a series of twelve 100 M pages snapshots of the .uk domain. The Web graphs of the twelve snapshots have been merged into a single time-aware graph that provide constant-time access to temporal information. In this paper we present the first statistical analysis performed on this graph, with the goal of checking whether the information contained in the graph is reliable (i.e. whether it depends essentially on appearance and disappearance of pages and links, or on the crawler behaviour). We perform a number of tests that show that the graph is actually reliable, and provide the first public data on the evolution of the Web that use a large scale and a significant diversity in the sites considered.
Keywords :
Internet; data mining; statistical analysis; temporal databases; UK Web; Web graphs; constant-time access; crawler behaviour; statistical analysis; temporal dataset; temporal evolution; Conferences; Data analysis; Data mining; Frequency estimation; Large-scale systems; Performance analysis; Performance evaluation; Testing; Uniform resource locators; Web pages; Temporal-evolution; Web-characterization; Web-evolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
Conference_Location :
Pisa
Print_ISBN :
978-0-7695-3503-6
Electronic_ISBN :
978-0-7695-3503-6
Type :
conf
DOI :
10.1109/ICDMW.2008.88
Filename :
4734022
Link To Document :
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