【摘要】：社交網(wǎng)絡(luò)信息傳播模型的研究是在經(jīng)典的傳染病傳播模型的基礎(chǔ)上發(fā)展而來(lái)的。經(jīng)典的傳染病傳播模型是傳播動(dòng)力學(xué)研究的開(kāi)端。隨著時(shí)代的發(fā)展和研究的深入,很多學(xué)者開(kāi)始研究基于傳統(tǒng)社交網(wǎng)絡(luò)的謠言傳播模型,這是傳播動(dòng)力學(xué)研究的另一個(gè)重要階段。近幾年,隨著互聯(lián)網(wǎng)的發(fā)展,在線社交網(wǎng)絡(luò)越來(lái)越普遍,甚至改變了信息傳播和人們交流的方式。除此之外,在線社交網(wǎng)絡(luò)有不同于傳統(tǒng)社交網(wǎng)絡(luò)的特征,所以許多學(xué)者開(kāi)始研究在線社交網(wǎng)絡(luò)的信息傳播機(jī)制。本文也著眼于現(xiàn)在國(guó)內(nèi)最為流行的兩款社交軟件——微博和微信,研究信息在這兩個(gè)社交平臺(tái)上的傳播過(guò)程和規(guī)則。微信朋友圈是微信上一個(gè)發(fā)布傳播信息的平臺(tái),它主要有發(fā)布、收藏、評(píng)論/點(diǎn)贊、傳播信息等功能。根據(jù)微信朋友圈的功能,我們構(gòu)建了一個(gè)新的信息傳播模型——IRCSS模型。模型中群體主要分成了五部分:未知者、評(píng)論者、收藏者、傳播者和免疫者。模型中主要包括了傳播機(jī)制、評(píng)論機(jī)制、收藏機(jī)制和免疫機(jī)制。我們利用均場(chǎng)方程來(lái)描述IRCSS模型中各群體的動(dòng)態(tài)。更進(jìn)一步,我們把參數(shù)對(duì)信息傳播的影響進(jìn)行了理論分析和數(shù)值試驗(yàn)驗(yàn)證。除此之外,我們還通過(guò)數(shù)值仿真試驗(yàn)找出了網(wǎng)絡(luò)結(jié)構(gòu)對(duì)信息傳播的影響。微博是另外一款國(guó)內(nèi)比較流行的社交軟件。與微信相比,它具有更強(qiáng)的開(kāi)放性,更偏向于信息的傳播而不是交流。微博的基本功能與微信朋友圈大體相同,但微博網(wǎng)絡(luò)中有一些大V用戶,他們的粉絲量比普通用戶大得多,所以我們把超級(jí)傳播者加入到模型中。根據(jù)傳播機(jī)制,我們構(gòu)建了IRC3S模型來(lái)仿真信息在微博上的傳播過(guò)程。由于超級(jí)傳播者的度要比普通傳播者的度要大,所以我們改進(jìn)了IRC3S模型。隨后我們對(duì)兩個(gè)模型進(jìn)行了數(shù)值仿真,找出了信息在微博上傳播的規(guī)律。最后,我們對(duì)微博和微信朋友圈的模型進(jìn)行對(duì)比分析,找出微信和微博信息傳播過(guò)程中的異同點(diǎn)。
[Abstract]:The research of social network information transmission model is based on the classical infectious disease transmission model. The classical transmission model of infectious disease is the beginning of the study of transmission dynamics. With the development of the times and the deepening of the research, many scholars have begun to study the rumor propagation model based on traditional social networks, which is another important stage in the study of communication dynamics. In recent years, with the development of the Internet, online social networks have become more and more popular, and even changed the way of information dissemination and communication. In addition, online social networks have different characteristics from traditional social networks, so many scholars have begun to study the information dissemination mechanism of online social networks. This paper also focuses on Weibo and WeChat, the two most popular social software in China, and studies the process and rules of information dissemination on these two social platforms. WeChat circle of friends is a WeChat on the dissemination of information platform, it mainly has publishing, collection, comments / likes, dissemination of information and other functions. According to the function of WeChat friend circle, we construct a new information transmission model-IRCSS model. The group is divided into five parts: unknown, reviewer, collector, communicator and immunizer. The model includes communication mechanism, comment mechanism, collection mechanism and immune mechanism. We use the mean field equation to describe the dynamics of each population in the IRCSS model. Furthermore, the effects of parameters on information transmission are theoretically analyzed and verified by numerical experiments. In addition, we also find out the influence of network structure on information transmission through numerical simulation. Weibo is another popular social software in China. Compared with WeChat, it is more open and more inclined to spread information than to communicate. Weibo's basic function is roughly the same as WeChat's circle of friends, but Weibo has some large V users whose fans are much larger than ordinary users, so we add super communicators to the model. According to the transmission mechanism, we construct a IRC3S model to simulate the transmission of information on Weibo. Because the degree of super communicator is larger than that of ordinary communicator, we improve the IRC3S model. Then we simulate the two models and find out the rules of information spreading on Weibo. Finally, we compare and analyze the models of Weibo and WeChat circle of friends, and find out the similarities and differences in the process of information dissemination between WeChat and Weibo.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TP393.09;G206

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