个体门槛分布规律对微博谣言扩散的影响
发布时间：2019-01-26 20:31
【摘要】：本文借用门槛理论模型,探讨建立谣言个体门槛预测模型相关问题,并应用于"和颐酒店事件"微博谣言的扩散数据的解释,通过研究个体门槛分布规律对微博谣言扩散的影响,完善谣言的门槛预测模型。本研究有三个显著发现:1.临界大多数点的存在性问题;2.低门槛值分布高度集中;3.谣言类型影响门槛分布的差异。这三个问题是个体门槛分布状态下呈现出的三个主要特征,在此分析基础上提出了影响个体门槛预测模型准确性的三个重要因素。
[Abstract]:Based on the threshold theory model, this paper discusses the problems related to the establishment of the individual threshold prediction model of rumors, and applies it to the interpretation of the spreading data of Weibo's rumors in the event of Heyi Hotel. By studying the influence of individual threshold distribution law on rumor diffusion of Weibo, the threshold prediction model of rumor is improved. There are three significant findings in this study: 1. Existence of most critical points; 2. The distribution of low threshold value is highly concentrated; The type of rumor affects the difference of threshold distribution. These three problems are the three main characteristics of individual threshold distribution. On the basis of this analysis, three important factors affecting the accuracy of individual threshold prediction model are put forward.
【作者单位】： 四川大学文学与新闻学院;成都工业学院;
【基金】：国家社科基金项目“基于门槛分布规律的谣言扩散模式与引导机制研究”(16BXW093)
【分类号】：G206
本文编号：2415884
[Abstract]:Based on the threshold theory model, this paper discusses the problems related to the establishment of the individual threshold prediction model of rumors, and applies it to the interpretation of the spreading data of Weibo's rumors in the event of Heyi Hotel. By studying the influence of individual threshold distribution law on rumor diffusion of Weibo, the threshold prediction model of rumor is improved. There are three significant findings in this study: 1. Existence of most critical points; 2. The distribution of low threshold value is highly concentrated; The type of rumor affects the difference of threshold distribution. These three problems are the three main characteristics of individual threshold distribution. On the basis of this analysis, three important factors affecting the accuracy of individual threshold prediction model are put forward.
【作者单位】： 四川大学文学与新闻学院;成都工业学院;
【基金】：国家社科基金项目“基于门槛分布规律的谣言扩散模式与引导机制研究”(16BXW093)
【分类号】：G206
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