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Abstract:
Analyzing the link structure of the web for deriving a page's authority and
implied importance has deeply affected the way information providers create and
link content, the ranking in web search engines, and the users' access
behavior. Due to the enormous dynamics of the web, with millions of pages
created, updated, deleted, and linked to every day, timeliness of web pages and
links is a crucial factor for their evaluation. Users are interested in
important pages (i.e., pages with high authority score) but are equally
interested in the recency of information. Time – and thus the freshness of web
content and link structure - emanates as a factor that should be taken into
account in link analysis when computing the importance of a page. So far only
minor effort has been spent on the integration of temporal aspects into link
analysis techniques. In this paper we introduce T-Rank, a link analysis
approach that takes into account the temporal aspects freshness (i.e.,
timestamps of most recent updates) and activity (i.e., update rates) of pages
and links. Preliminary experimental results show that T-Rank can improve the
quality of ranking web pages.
