【摘要】：互聯(lián)網(wǎng)迷因是用戶結(jié)合自身想法、行為和表現(xiàn)在Web2.0環(huán)境中創(chuàng)造的網(wǎng)絡(luò)文化片段,它通過用戶的社交關(guān)系分享在短時間內(nèi)獲得影響力,最初的意義是用于闡釋網(wǎng)絡(luò)文化的發(fā)展。目前,國外已存在大量對互聯(lián)網(wǎng)迷因交叉學科的研究,而我國對互聯(lián)網(wǎng)迷因的研究起步較晚,且多集中于語言學,因此,本文從傳播學角度研究互聯(lián)網(wǎng)迷因的傳播特征,為我國互聯(lián)網(wǎng)迷因的交叉學科研究提供新的思路。本文的研究內(nèi)容主要包含四個部份:第一,互聯(lián)網(wǎng)迷因文獻研究評述。目前在信息管理領(lǐng)域尚無有關(guān)互聯(lián)網(wǎng)迷因的系統(tǒng)性梳理,本文從Google學術(shù)、Springer、Elsevier、CNKI等多個數(shù)據(jù)庫中收集文獻299篇,綜述互聯(lián)網(wǎng)迷因在計算機科學、傳播學、社會學等多個學科中的研究進展,并重點介紹了互聯(lián)網(wǎng)迷因的建模仿真現(xiàn)狀,為互聯(lián)網(wǎng)迷因的流行病傳播模型研究奠定基礎(chǔ);第二,構(gòu)建互聯(lián)網(wǎng)迷因傳染病傳播模型。根據(jù)互聯(lián)網(wǎng)迷因傳播變異的特點,在傳統(tǒng)SIR模型基礎(chǔ)上加入創(chuàng)新者人群(Innovative),構(gòu)建互聯(lián)網(wǎng)迷因傳播模型SIInR,并討論模型的無病平衡點DFE及模型參數(shù)對傳播態(tài)勢的影響;第三,研究互聯(lián)網(wǎng)迷因傳播變異機制。將互聯(lián)網(wǎng)迷因模型化為比特串,在SIInR模型的基礎(chǔ)上加入比特串模型,討論互聯(lián)網(wǎng)迷因核心片段變異及輔助片段變異對傳播趨勢的影響;第四,互聯(lián)網(wǎng)迷因量化分析及實例仿真。將200個從百度指數(shù)中收集互聯(lián)網(wǎng)迷因按日常交際功能劃分為六種類型,在模型擬合中對比構(gòu)建的SIInR模型與傳統(tǒng)Gauss、LogNormal、SIR模型的差異性,并以“友誼的小船”、“你咋不上天呢”實例仿真,討論SIInR模型及其變異機制的有效性和實用性。本文的創(chuàng)新點有兩個部分:第一,根據(jù)互聯(lián)網(wǎng)迷因高復(fù)制性、快速傳播變異的特點,仿照傳染病病毒傳播模型,創(chuàng)建與互聯(lián)網(wǎng)迷因相匹配的SIInR模型;第二,深入分析互聯(lián)網(wǎng)迷因的變異機制,將互聯(lián)網(wǎng)迷因模型化為比特串,討論比特串中核心片段、輔助片段對互聯(lián)網(wǎng)迷因傳播趨勢的影響。
[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.
【學位授予單位】：天津科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：G206

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