无标度特性下的有界信任交互网络伪舆情演化建模及仿真研究

发布时间：2018-05-12 02:06

  本文选题：BA网络 + 外界社会环境　； 参考：《小型微型计算机系统》2017年06期

【摘要】：了解和掌握网络伪舆情事件的观点倾向及其演化规律,是互联网舆情监控的一项重要内容,对于及时引导和化解舆情危机具有十分重要的意义.本文提出基于BA网络和有界信任交互的二阶段舆论演化动力学模型.该模型从观点形成与观点交互两个阶段出发,建模普通网络成员的观点形成和在自身性格和周围环境(比如网络水军)双重因素共同作用下的观点变化,分析了外界环境变化对舆论演化的影响,并对模型是否考虑网络拓扑结构因素进行了比较分析.一系列的仿真实验表明该模型能较好的拟合网络伪舆情的演化规律,能为网络监察部门和新闻管理部门提供一定的政策建议.
[Abstract]:Understanding and mastering the viewpoint tendency and evolution law of network pseudo public opinion event is an important content of Internet public opinion monitoring. It is very important to guide and resolve public opinion crisis in time. In this paper, a two stage evolution dynamics model of public opinion based on BA network and bounded trust interaction is proposed. Starting from the two stages of viewpoint formation and viewpoint interaction, the model models the formation of views of ordinary network members and the change of views under the combined action of their own personality and their surroundings (such as the network water army). This paper analyzes the influence of the external environment on the evolution of public opinion, and makes a comparative analysis on whether the network topology factors are taken into account in the model. A series of simulation experiments show that the model can fit the evolution law of network pseudo public opinion and provide some policy suggestions for network supervision department and news management department.
【作者单位】： 江西财经大学信息管理学院;江西财经大学数据与知识工程江西省高校重点实验室;
【基金】：国家社会科学基金项目(12CTQ042)资助 国家自然科学基金项目(71461012,61363010,61462037)资助 江西省高校人文社会科学研究规划基金项目(TQ1504)资助 江西省自然科学基金项目(20142BAB207010)资助
【分类号】：G206;TP393.09
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本文编号：1876628