| 社会信号处理与分析的基本框架：从社会传感网络到计算辩证解析方法 |
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| 引用本文： | 王飞跃.社会信号处理与分析的基本框架：从社会传感网络到计算辩证解析方法[J].中国科学:信息科学,2013(12):1598-1611. |
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| 作者姓名： | 王飞跃 |
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| 作者单位： | [1]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [2]国防科学技术大学军事计算实验平行系统技术研究中心和信息系统与管理学院,长沙410073 |
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| 基金项目： | 国家自然科学基金（批准号：711232006,61233001）资助项目致谢作者十分感谢李衍达院士的邀请和指教.本项目工作得到国家自然科学基金委重点项目“平行管理”（71232006）和“平行控制”（61233001）的支持,特表感谢. |
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| 摘 要： | 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．
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| 关 键 词： | 社会信号 社会传感网 默顿系统 ACP方法 平行管理 计算辩证 计算解析 |
A framework for social signal processing and analysis： from social sensing networks to computational dialectical analytics |
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| WANG Fei-Yue.A framework for social signal processing and analysis： from social sensing networks to computational dialectical analytics[J].Scientia Sinica Techologica,2013(12):1598-1611. |
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| Authors: | WANG Fei-Yue |
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| Institution: | WANG Fei-Yue The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; The Research Center for Military Computational Experiments and Parallel Systems Technology and College of Information Systems and Management, The National University of Defense Technology, Changsha 410073, China |
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| Abstract: | The availability of real-time and reliable social signals is a necessity for implementing closed-loop and feedback based dynamic social management. However, the concepts and methods for social signals are far behind those for physical signal processing and analysis, and need to be developed in a systematic approach. As social and new media and social networking reach to all corners of societies rapidly, the problem of social signal processing and analysis becomes significant and the demand for effective solutions is great and urgent. This paper investigates issues related to the modeling and management of social systems, characterization of social signals and channels, social sensors and construction of social sensing networks, artificial societies, computational experiments, and parallel execution （the ACP approach） for reasoning and synthesis in computational social systems, computational dialectics, and computational analytics. Our objective is to establish a framework and methodology for acquisition, processing, analysis, analytics, and application of social signals. |
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| Keywords: | social signals social sensing networks Mertonian systems ACP approach parallel management computational dialectics computational analytics |
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