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With the development of mobile web integration technologies and wireless sensor networks, the interactive activities of human society increasingly rely on the heterogeneous network environment including the communication network, the Internet and sensor networks. This paper tries to apply socially aware computing and data mining to the mobile web application integration technology. It emphasizes understanding regularity of human social activities based on mobile applications to provide mobile users with intelligent auxiliary and support in real world by socially aware computing and data mining. It also presents single-layer and multi-layer evolutionary models of socially aware computing to allow these socially mobile web applications better integrated into the human social activities. Experimental analysis of the self-developed mobile platform called MAIP2.0 showed its superiority of socially aware computing applied in the mobile field.