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- W2023551434 abstract "The massive spread of small personal devices equipped with different radio technologies is enabling the formation of a heterogeneous wireless networking platform on top of which new mobile computing services are deployed to flexibly and ubiquitously reach a target user. With the emerging of ubiquitous wireless communications, mobile applications are becoming highly personalized and influenced by user location, mobility, social attitudes and interests, or, shortly, by his/her behavior. In this work, we propose a framework having the aim of capturing and allowing the modeling the multiple dimensions of the human behavior. In order to measure and perform a cross analysis of those dimensions, we briefly describe an Android-based application able to collect face-to-face encounters and online social relations of a certain set of users." @default.
- W2023551434 created "2016-06-24" @default.
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- W2023551434 date "2012-03-15" @default.
- W2023551434 modified "2023-09-25" @default.
- W2023551434 title "Sensing multi-dimensional human behavior in opportunistic networks" @default.
- W2023551434 cites W2117252912 @default.
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- W2023551434 doi "https://doi.org/10.1145/2159576.2159599" @default.
- W2023551434 hasPublicationYear "2012" @default.
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