個體門檻分布規(guī)律對微博謠言擴散的影響
發(fā)布時間:2019-01-26 20:31
【摘要】:本文借用門檻理論模型,探討建立謠言個體門檻預測模型相關(guān)問題,并應用于"和頤酒店事件"微博謠言的擴散數(shù)據(jù)的解釋,通過研究個體門檻分布規(guī)律對微博謠言擴散的影響,完善謠言的門檻預測模型。本研究有三個顯著發(fā)現(xiàn):1.臨界大多數(shù)點的存在性問題;2.低門檻值分布高度集中;3.謠言類型影響門檻分布的差異。這三個問題是個體門檻分布狀態(tài)下呈現(xiàn)出的三個主要特征,在此分析基礎(chǔ)上提出了影響個體門檻預測模型準確性的三個重要因素。
[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.
【作者單位】: 四川大學文學與新聞學院;成都工業(yè)學院;
【基金】:國家社科基金項目“基于門檻分布規(guī)律的謠言擴散模式與引導機制研究”(16BXW093)
【分類號】:G206
本文編號: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.
【作者單位】: 四川大學文學與新聞學院;成都工業(yè)學院;
【基金】:國家社科基金項目“基于門檻分布規(guī)律的謠言擴散模式與引導機制研究”(16BXW093)
【分類號】:G206
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