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Analytics of Human Dynamics in Email Networks
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ZHENG Ziyuan，WANG Xiaofan
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(Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China)
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Abstract This article analyzed the email communication patterns of users reflected in a national university’s email network. It is shown that the two existed models, prioritybased queuing model and the cascading nonhomogeneous Poisson process model, both fail to describe properly the dynamic mechanism in the email network. The hypothesis in the prioritybased queuing model that users share a universal behavior pattern is unreasonable; besides the cascading nonhomogeneous Poisson process cannot embody the unexpected cessation or dynamic evolution in individual activities. Therefore, the clusteringanalysisbased segmented cascading nonhomogeneous Poisson process model is promoted which can produce better predictions.
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Received: 03 June 2010
Published: 28 February 2011
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