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Structural Insights on Internet Traffic:Community Overlapping and Correlations
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作者 吴晓非 禹可 +1 位作者 狄佳玺 苏驷希 《China Communications》 SCIE CSCD 2013年第10期101-114,共14页
There is an increasing number of Internet applications, which leads to an increasing network capacity and availability. Internet traffic characterisation and application identification are, therefore, more important f... There is an increasing number of Internet applications, which leads to an increasing network capacity and availability. Internet traffic characterisation and application identification are, therefore, more important for efficient network management. In this paper, we construct flow graphs from detailed Internet traffic data collected from the public networks of Internet Service Providers. We analyse the community structures of the flow graph that is naturally formed by different applications. The community size, degree distribution of the community, and community overlap of 10 Internet applications are investigated. We further study the correlations between the communities from different applications. Our results provide deep insights into the behaviour Internet applications and traffic, which is helpful for both network management and user behaviour analysis. 展开更多
关键词 application identification overlapping community complex network Internet traffic flow correlation coefficient
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