Abstract
Social roles of mobile users have widespread applications. However, most of users’ social roles and other personal information are missing due to privacy and some other reasons, which makes it difficult to infer users’ social roles precisely. Though mobile operators are lacking in information about users’ social roles, they have mobile communication data which records users’ communication behaviors. Since users with same social role have similar communication behaviors, it is possible to infer users’ social roles based on their communication behaviors. This paper studies the problem of inferring social roles of mobile users from users’ communication behaviors. A Mobile Communication Behaviors based framework (MCB) is proposed to infer social roles of mobile users. MCB solved the difficulties of inferring users’ social roles with few labeled users, inaccurate label information, and few users’ feature information. Our study is based on a real-world large mobile communication dataset and the experiment shows the accuracy and effectiveness of the method.
This work was supported by Natural Science Foundation of China (No.61170003).
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Chen, Y., Li, H., Zhang, J., Miao, G. (2016). Inferring Social Roles of Mobile Users Based on Communication Behaviors. In: Cui, B., Zhang, N., Xu, J., Lian, X., Liu, D. (eds) Web-Age Information Management. WAIM 2016. Lecture Notes in Computer Science(), vol 9658. Springer, Cham. https://doi.org/10.1007/978-3-319-39937-9_31
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DOI: https://doi.org/10.1007/978-3-319-39937-9_31
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