The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Communications of the ACM
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VLDB '05 Proceedings of the 31st international conference on Very large data bases
Ranking web sites with real user traffic
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Proceedings of the 5th international conference on Emerging networking experiments and technologies
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INFOCOM'10 Proceedings of the 29th conference on Information communications
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UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Properties and Evolution of Internet Traffic Networks from Anonymized Flow Data
ACM Transactions on Internet Technology (TOIT)
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We offer the first large-scale analysis of Web traffic based on network flow data. Using data collected on the Internet2 network, we constructed a weighted bipartite client-server host graph containing more than 18 x 106 vertices and 68 x 106 edges valued by relative traffic flows. When considered as a traffic map of the World-Wide Web, the generated graph provides valuable information on the statistical patterns that characterize the global information flow on the Web. Statistical analysis shows that client-server connections and traffic flows exhibit heavy-tailed probability distributions lacking any typical scale. In particular, the absence of an intrinsic average in some of the distributions implies the absence of a prototypical scale appropriate for server design, Web-centric network design, or traffic modeling. The inspection of the amount of traffic handled by clients and servers and their number of connections highlights non-trivial correlations between information flow and patterns of connectivity as well as the presence of anomalous statistical patterns related to the behavior of users on the Web. The results presented here may impact considerably the modeling, scalability analysis, and behavioral study of Web applications.