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【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。
[Purpose / Significance] With the popularization of social software represented by WeChat and the construction of social networks, public opinion has been increasingly influenced by the public. Once the public opinion is mastered by criminals with bad motives, it will have great destructive power. [Method / Process] In this context, based on the honeypot active defense model, this paper analyzes the result of public opinion information in WeChat by means of adaptive clustering analysis. [Results / Conclusions] The validity and accuracy of the adaptive clustering analysis algorithm are verified, and the proportional relationship between the number of bait dropping and the mediation of the public opinion is proved. This proves that the honeypot active defense system constructed in this paper has positive effect.