微信舆情主动防御系统及监测算法  

Research on Active Defense System and Monitoring Algorithm of WeChat Public Opinion

作　　者：徐萌[1] 王晓[1] XU Meng WANG Xiao(Libaray of Hebei University of Science and Technology, ShOiazhuang 050000, Chin)

机构地区：[1]河北科技大学图书馆,河北石家庄050000

出　　处：《情报科学》2017年第8期40-46,共7页Information Science

摘　　要：【目的/意义】随着以微信为代表的社交软件的普及和社交网络的搭建,大众的舆论影响力不断提升,一旦舆论导向被动机不良的犯罪分子掌握,将会产生巨大的破坏力。【方法/过程】在此背景下,本文以蜜罐网络主动防御模型为基础,借助适应性聚类分析技术,对微信中的舆论信息进行实例结果分析。【结果/结论】验证了适应性聚类分析算法的效力和准确度,证明了投放诱饵数量与舆论调和间的正比关系,印证了本文所构建的蜜罐主动防御系统对社交媒体的舆情监控具有积极的作用。[Puq）ose/signifieance] With the rapid development of SNS represented by WeChat, the public opinion＇s power is promoting. Once the public opinion is misused by the criminals, the outcome may be terrible. [ Method^process]This pa- per adopts the honeypot network of active defense model based on integration of text extraction and adaptive clustering tech- niques to extract WeCbat information. [Results/conclusion]The study shows that the elustering analysis algorithm has the obvious advantage in aceuraey and efficiency. The bait number and the public opinion control have direct proportion rela- tionship. The constructed honeypot in the paper has positive influences on the control of public opinion.

关 键 词：微信 舆情 蜜罐 主动防御 诱饵 

分 类 号：G206.3[文化科学—传播学]