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基于SNA参数的网络舆论系统状态差分分析
引用本文:杨勇,崔鑫,吴荣春.基于SNA参数的网络舆论系统状态差分分析[J].武警工程学院学报,2014(2):43-48.
作者姓名:杨勇  崔鑫  吴荣春
作者单位:[1]武警警官学院信息工程系,四川成都610213 [2]青岛市人民政府对外交流办公室,山东青岛266071
摘    要:近年来,互联网在我国快速发展,网络舆论起着越来越重要的作用,对国家安全和社会稳定产生了重大的冲击和影响。针对网络舆论系统的状态进行研究,借助SNA方法,提出了可作为序参量的一些特征参数。在此基础上,设计了基于时间序列的SNA参数差分算法,实现对网络舆论系统的状态进行观测与分析。同时,对一个真实网络舆论进行实验仿真,验证了这种方法。

关 键 词:网络舆论系统  参数  社会网络分析(SNA)  差分法

The Differential Analysis for Status of Public Opinion via Internet System Based on Parameters of Social Network Analysis
YANG Yong,CUI Xin,WU Rong-chun.The Differential Analysis for Status of Public Opinion via Internet System Based on Parameters of Social Network Analysis[J].Journal of Engineering College of Armed Police Force,2014(2):43-48.
Authors:YANG Yong  CUI Xin  WU Rong-chun
Institution:1. Department Information Engineering, Officer College of CAPF, Chengdu 610213, China; 2. Qingdao Government Foreign Exchange Office, Qingdao 266071,China)
Abstract:With the rapid development of Internet, the public opinion via Internet in China is getting more and more important influencing and impacting on social stability and national security. In this paper, we focuses on status of public opinion via Internet system and ex- plores some parameters known as order parameters in virtue of Social Network Analysis (SNA). Furthermore, a differential analysis method based on the sequence of time is designed, which can make us observe and analyze the status of public opinion via Internet system. Finally, a real case is simulated in order to prove the proposedmethod.
Keywords:public opinion via internet system  parameter  social network analysis (SNA)  differential method
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