Abstract
Information exchange among people via email service has produced a mass of communication data, which have been widely used in research about information propagation in virtual social networks. The focus of this paper is on the “Enron Email Dataset”. The ideas discussed give thorough consideration to the diversity of organizational positions, the dynamic behaviors of users to select information contents and communication partners via email service. We then establish a probability selection model to analyze the impact of multiple interactive relationships on the email communication network. On the basis, an agent-based model for modeling the information diffusion in an organization via email communication network is proposed, by relating the micro individual behaviors and the macro system evolution to address the real phenomena. Further, we conduct sensitivity analysis of the interference parameter on the evaluative network. The experimental results show that our proposed model is beneficial to uncover the implicit communication mechanisms of a real organization.
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Yang, C., Jiang, B., Wang, L. (2016). Mining and Modeling the Information Propagation in an Email Communication Network. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_46
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DOI: https://doi.org/10.1007/978-3-319-31854-7_46
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