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实时、可靠的社会信号,是实施有效的社会管理,特别是反馈闭环式的社会管理创新的基础.然而,相对于物理信号,社会信号的处理与分析有待系统化的研究与发展.随着社会新媒体和社会网络的蓬勃兴起和普及,这一问题变得更加迫切和急需.本文就社会信号与社会系统建模与管理,社会信号的刻画,社会传感网的构建,计算辩证推理和综合的人工社会、计算实验、平行执行(ACP)方法等展开讨论,希望在此基础上进一步开展研究与应用,最终建立面向社会信号之获取、分析、解析和应用的一般框架与方法体系.
Real-time and reliable social signals are the basis for implementing effective social management, especially for closed-loop social management feedback.However, the processing and analysis of social signals need to be systematically researched and developed relative to physical signals.With the rapid development of society The rise and popularization of new media and social networks has become more urgent and urgent.This paper analyzes the social signal and social system modeling and management, the portrayal of social signals, the construction of social sensor networks, the dialectical reasoning and synthesis Based on the analysis of human society, computational experiments and parallel execution (ACP) methods. It is hoped that further research and application will be conducted on this basis. Finally, a general framework and methodology for obtaining, analyzing, analyzing and applying social signals will be established.