| 基于熵理论的网络舆情系统分析 |
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| 引用本文： | 刘彬.基于熵理论的网络舆情系统分析[J].贵州警官职业学院学报,2013,25(5):99-103. |
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| 作者姓名： | 刘彬 |
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| 作者单位： | 江苏警官学院,江苏南京,210031 |
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| 基金项目： | 江苏省高校哲学社会科学研究基金项目，教育部人文社会科学研究一般项目，公安部公安理论及软科学研究计划立项项目，江苏高校优势学科建设工程资助项目;江苏省"青蓝工程"资助 |
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| 摘 要： | 网络舆情系统是通过自组织使各子系统协同作用从而使系统演化为具有一定有序程度的耗散结构.网络舆情系统熵变揭示了舆情的演变过程,构成舆情系统的四个因素（噪音）决定了熵值大小,也即系统的有序度.因此我们在舆情导控上不但要把握好处理的时间点,同时也要把握好处理的关键点.
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| 关 键 词： | 信息熵 网络舆情 噪音 |
A Systematic Analysis of the Online Public Opinion Based on the Entropy Theory |
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| LIU Bin.A Systematic Analysis of the Online Public Opinion Based on the Entropy Theory[J].Journal of Guizhou Police Officer Vocational College,2013,25(5):99-103. |
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| Authors: | LIU Bin |
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| Institution: | LIU Bin (Jiangsu Police Institute, Nanjing 210031, P.R.China) |
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| Abstract: | The system of the online public opinion is a dissipative structure in which the subsystems cooperate by self-organizing ant evolve to a network of an ordered state. The entropy changc of the online public opinion system reveals the evolution of public opinion, and the size of the entropy, namely, the degree of order is decided by four formative factors （noise）. Therefore, when controlling the information entropy, good timing and grasping the key points are equally important. |
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| Keywords: | information entropy network public opinion noise |
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