Social computing, as the technical foundation of future computational smart societies, has potential to improve the effectiveness of using dynamic and open-source big data, systematically integrate various factors including people, positions, events, objects and organizations, and establish a novel social structure with symmetric information, equal rights and a flat configuration. As such, social computing can facilitate the evolution of social administration from traditional paradigms to an intensive, informational, intelligent and innovative model with real-time and complete responses. To this end, we should take full advantage of such key technologies as social sensor networks, knowledge automation, high-performance distributed computing, and cyber/artificial-physical-coupled parallel systems to enhance overall capabilities in perception, modeling, analysis, decision-making and implementation, and thus improve societal functions and services. The ultimate goal is to create a novel and configurable social management mode with closed-loop feedback from public opinion, parallel management, and mobile command and control.
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YUAN et al. (2015) studied this question.