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Article Dans Une Revue IEEE Communications Magazine Année : 2014

Cross-community sensing and mining

Résumé

With the developments in information and communications technology (ICT), people are involving in and connecting via various forms of communities in the cyber-physical space, such as online communities, opportunistic (offline) social networks, and location-based social networks. Different communities have distinct features and strengths. With humans playing the bridge role, these communities are implicitly interlinked. In contrast with the existing studies that mostly consider a single community, this article addresses the interaction among distinct communities. In particular, we present an emerging research area - cross-community sensing and mining (CSM), which aims to connect heterogeneous, cross-space communities by revealing the complex linkage and interplay among their properties and identifying human behavior patterns by analyzing the data sensed/collected from multi-community environments. The article describes and discusses the research background, characters, general framework, research challenges, as well as our practice of CSM
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hal-01262389 , version 1 (26-01-2016)

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Bin Guo, Zhiwen Yu, Daqing Zhang, Xingshe Zhou. Cross-community sensing and mining. IEEE Communications Magazine, 2014, 52 (8), pp.144 - 152. ⟨10.1109/MCOM.2014.6871682⟩. ⟨hal-01262389⟩
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