互联网迷因的流行病传播模型研究

发布时间：2019-01-17 21:25

【摘要】：互联网迷因是用户结合自身想法、行为和表现在Web2.0环境中创造的网络文化片段,它通过用户的社交关系分享在短时间内获得影响力,最初的意义是用于阐释网络文化的发展。目前,国外已存在大量对互联网迷因交叉学科的研究,而我国对互联网迷因的研究起步较晚,且多集中于语言学,因此,本文从传播学角度研究互联网迷因的传播特征,为我国互联网迷因的交叉学科研究提供新的思路。本文的研究内容主要包含四个部份:第一,互联网迷因文献研究评述。目前在信息管理领域尚无有关互联网迷因的系统性梳理,本文从Google学术、Springer、Elsevier、CNKI等多个数据库中收集文献299篇,综述互联网迷因在计算机科学、传播学、社会学等多个学科中的研究进展,并重点介绍了互联网迷因的建模仿真现状,为互联网迷因的流行病传播模型研究奠定基础;第二,构建互联网迷因传染病传播模型。根据互联网迷因传播变异的特点,在传统SIR模型基础上加入创新者人群(Innovative),构建互联网迷因传播模型SIInR,并讨论模型的无病平衡点DFE及模型参数对传播态势的影响;第三,研究互联网迷因传播变异机制。将互联网迷因模型化为比特串,在SIInR模型的基础上加入比特串模型,讨论互联网迷因核心片段变异及辅助片段变异对传播趋势的影响;第四,互联网迷因量化分析及实例仿真。将200个从百度指数中收集互联网迷因按日常交际功能划分为六种类型,在模型拟合中对比构建的SIInR模型与传统Gauss、LogNormal、SIR模型的差异性,并以“友谊的小船”、“你咋不上天呢”实例仿真,讨论SIInR模型及其变异机制的有效性和实用性。本文的创新点有两个部分:第一,根据互联网迷因高复制性、快速传播变异的特点,仿照传染病病毒传播模型,创建与互联网迷因相匹配的SIInR模型;第二,深入分析互联网迷因的变异机制,将互联网迷因模型化为比特串,讨论比特串中核心片段、辅助片段对互联网迷因传播趋势的影响。
[Abstract]:Internet memes are segments of online culture created by users in combination with their own thoughts, behaviors, and expressions in the Web2.0 environment. They gain influence in a short period of time by sharing users' social relationships. The original meaning is to explain the development of network culture. At present, there has been a lot of research on Internet memes in foreign countries. However, the study of Internet memes in China started late and focused on linguistics. Therefore, this paper studies the communication characteristics of Internet memes from the perspective of communication. It provides a new idea for the cross-disciplinary study of Internet memes in China. This paper mainly includes four parts: first, the literature review of Internet memes. At present, there is no systematic combing of Internet memes in the field of information management. This paper collects 299 articles from Google academic, Springer,Elsevier,CNKI and other databases to summarize Internet memes in computer science, communication science, etc. The research progress in sociology and many other disciplines is introduced, and the current situation of modeling and simulation of Internet memes is introduced, which lays a foundation for the study of epidemic transmission model of Internet memes. Second, construct the transmission model of Internet memes infectious diseases. According to the characteristics of Internet meme transmission variation, this paper builds the Internet meme transmission model SIInR, by adding innovator crowd (Innovative), on the basis of traditional SIR model, and discusses the disease-free equilibrium point DFE of the model and the influence of model parameters on the transmission situation. Third, the study of Internet memes transmission variation mechanism. The model of Internet meme is transformed into bit string, and a bit string model is added on the basis of SIInR model to discuss the influence of core fragment variation and auxiliary fragment variation of Internet meme on the propagation trend. Fourth, the quantization analysis of Internet meme and the simulation of an example. The 200 Internet memes collected from Baidu index were divided into six types according to their daily communicative functions. The differences between the constructed SIInR model and the traditional Gauss,LogNormal,SIR model were compared in the model fitting. This paper discusses the validity and practicability of SIInR model and its mutation mechanism. The innovation of this paper has two parts: first, according to the characteristics of high replicability of Internet memes and rapid transmission variation, the SIInR model matching Internet memes is created, which mimics the transmission model of infectious disease virus; Secondly, the variation mechanism of Internet memes is deeply analyzed, and the model of Internet memes is transformed into bit strings, and the influence of core fragments and auxiliary fragments on the spreading trend of Internet memes is discussed.
【学位授予单位】：天津科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G206

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