Analyzing the behavioral structure characteristics from web traffic

Authors:
Ke Yu;Xiaofei Wu;Yang Cao;Zhijia Nian
Affiliations:
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China;School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Year:
2010

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Abstract

Nowadays Web service becomes one of the most popular services in information society. Understanding the characteristics of Web service and traffic is critical for traffic modeling and network optimization. In this paper, based on a large sample of flow data collected from operational network of ISP, the statistical characteristics of the behavioral structure of the Web are investigated. The behavioral structure is modeled as a weighted bipartite digraph, and the degree and strength distribution of hosts, the assortativity coefficient, the community structure are analyzed. Analysis results show that the behavioral structure of the Web exhibit characteristics such as scale-free and highly clustered, which implies the heterogeneous behavior of users on the Web.