On Finding the Maxima of a Set of Vectors
Journal of the ACM (JACM)
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Rank aggregation methods for the Web
Proceedings of the 10th international conference on World Wide Web
Optimal aggregation algorithms for middleware
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Proceedings of the 11th international conference on World Wide Web
Proceedings of the 17th International Conference on Data Engineering
Proceedings of the 27th International Conference on Very Large Data Bases
Using PageRank to Characterize Web Structure
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
A large-scale study of the evolution of web pages
WWW '03 Proceedings of the 12th international conference on World Wide Web
What's new on the web?: the evolution of the web from a search engine perspective
Proceedings of the 13th international conference on World Wide Web
Impact of search engines on page popularity
Proceedings of the 13th international conference on World Wide Web
ACM Transactions on Internet Technology (TOIT)
Link analysis ranking: algorithms, theory, and experiments
ACM Transactions on Internet Technology (TOIT)
Object-level ranking: bringing order to Web objects
WWW '05 Proceedings of the 14th international conference on World Wide Web
Trend detection through temporal link analysis
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
Page quality: in search of an unbiased web ranking
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Web Page Rank Prediction with PCA and EM Clustering
WAW '09 Proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph
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One of the grand research and industrial challenges in recent years is efficient web search, inherently involving the issue of page ranking. In this paper we address the issue of representing and quantifying web ranking trends as a measure of web pages. We study the rank position of a web page among different snapshots of the web graph and propose normalized measures of ranking trends that are comparable among web graph snapshots of different sizes. We define the rankchangerate (racer)as a measure quantifying the web graph evolution. Thereafter, we examine different ways to aggregate the rank change rates and quantify the trends over a group of web pages. We outline the problem of identifying highly dynamic web pages and discuss possible future work. In our experimental evaluation we study the dynamics of web pages, especially those highly ranked.