"T-Rank: Time-Aware Authority Ranking"
Klaus Berberich(1) , Michalis Vazirgiannis(1,2) and Gerhard Weikum(1) 

(1)  Max-Planck Institute of Computer Science, Saarbruecken, Germany
(2)  Dept of Informatics, Athens Univ. of Economics and Business, Athens, 
Greece 

Abstract
Analyzing the link structure of the web for deriving a pages 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.