發(fā)布時(shí)間：2018-02-01 18:26

  本文關(guān)鍵詞： 復(fù)雜網(wǎng)絡(luò) 微博網(wǎng)絡(luò) 無(wú)標(biāo)度 適應(yīng)度 中心度　出處：《湖南師范大學(xué)》2014年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著因特網(wǎng)技術(shù)與應(yīng)用的進(jìn)一步深入,微博、論壇等社交網(wǎng)絡(luò)得到了迅猛的發(fā)展,并逐步形成了一個(gè)至關(guān)重要的信息傳播平臺(tái)。微博網(wǎng)絡(luò)是基于現(xiàn)實(shí)生活中的社會(huì)關(guān)系建立的,它是對(duì)我們現(xiàn)實(shí)生活的一個(gè)映射,所以對(duì)微博網(wǎng)絡(luò)的研究有助于我們深入地了解和認(rèn)識(shí)用戶(hù)在現(xiàn)實(shí)中的社會(huì)關(guān)系、興趣等等。 國(guó)內(nèi)最大的社交網(wǎng)絡(luò)是新浪微博,用戶(hù)數(shù)量已經(jīng)有5.4億。為了更好地了解微博網(wǎng)絡(luò)的特征及用戶(hù)在信息傳播中的地位,本文選取“新浪微博”作為研究對(duì)象,運(yùn)用復(fù)雜網(wǎng)絡(luò)理論和社會(huì)網(wǎng)絡(luò)的分析方法,對(duì)微博網(wǎng)絡(luò)進(jìn)行分析研究。本文的研究結(jié)果為運(yùn)用無(wú)標(biāo)度、適應(yīng)度理論來(lái)研究微博網(wǎng)絡(luò)內(nèi)信息的傳播提供了理論和實(shí)踐參考。同時(shí),基于中心度的分析讓我們能更方便地確定用戶(hù)在信息傳播過(guò)程中的重要程度,具有重要的理論價(jià)值和現(xiàn)實(shí)意義。 本論文的主要研究工作如下： 1)闡述微博網(wǎng)絡(luò)的研究背景、發(fā)展現(xiàn)狀和研究意義。介紹復(fù)雜網(wǎng)絡(luò)的基本參數(shù),度分布、聚類(lèi)系數(shù)、平均路徑長(zhǎng)度；介紹復(fù)雜網(wǎng)絡(luò)的三個(gè)網(wǎng)絡(luò)模型,即小世界模型、無(wú)標(biāo)度模型、適應(yīng)度模型；介紹社會(huì)網(wǎng)絡(luò)分析法的基本概念,重點(diǎn)介紹中心度的概念。 2)通過(guò)新浪微博的開(kāi)放平臺(tái),調(diào)用提供的API獲取用戶(hù)信息,即實(shí)驗(yàn)數(shù)據(jù)的獲取,以朋友關(guān)系構(gòu)成微博網(wǎng)絡(luò)。通過(guò)對(duì)微博網(wǎng)絡(luò)的數(shù)據(jù)分析,發(fā)現(xiàn)微博網(wǎng)絡(luò)具有較短的平均路徑長(zhǎng)度和較高的聚類(lèi)系數(shù),驗(yàn)證微博網(wǎng)絡(luò)的小世界特性,此外,發(fā)現(xiàn)微博網(wǎng)絡(luò)中節(jié)點(diǎn)的度分布服從冪律分布,表明微博網(wǎng)絡(luò)具有無(wú)標(biāo)度特性；通過(guò)分析網(wǎng)絡(luò)中不同節(jié)點(diǎn)的度隨時(shí)間的變化情況,發(fā)現(xiàn)微博網(wǎng)絡(luò)中存在適應(yīng)度特性。 3)運(yùn)用社會(huì)網(wǎng)絡(luò)的分析方法,研究新浪微博網(wǎng)絡(luò)中各用戶(hù)在信息傳播過(guò)程中所發(fā)揮的作用及用戶(hù)在網(wǎng)絡(luò)中的重要性�；�于社會(huì)網(wǎng)絡(luò)分析方法中的中心度分析,通過(guò)計(jì)算出各節(jié)點(diǎn)的點(diǎn)度中心度、緊密中心度、中間中心度,從不同的側(cè)重點(diǎn)分析網(wǎng)絡(luò)中各用戶(hù)所處位置的重要程度,從而確定在網(wǎng)絡(luò)的信息傳播過(guò)程中不同用戶(hù)所起的作用。
[Abstract]:With the further development of Internet technology and application, Weibo, forum and other social networks have been rapidly developed. And gradually formed a crucial information dissemination platform. Weibo network is based on the real life of social relations, it is a mapping of our real life. Therefore, the study of Weibo network helps us to understand and understand the social relations and interests of users in reality. The biggest social network in China is Sina Weibo, which has 540 million users. In order to better understand the characteristics of Weibo network and the status of users in the dissemination of information. This article selects "Sina Weibo" as the research object, uses the complex network theory and the social network analysis method, carries on the analysis research to Weibo network. The fitness theory provides a theoretical and practical reference for the study of the dissemination of information in the Weibo network. At the same time, the centeredness analysis makes it easier for us to determine the importance of users in the process of information dissemination. It has important theoretical value and practical significance. The main research work of this thesis is as follows: 1) the research background, development status and significance of Weibo network are described. The basic parameters, degree distribution, clustering coefficient and average path length of complex network are introduced. This paper introduces three network models of complex network, that is, small world model, scale-free model and fitness model. This paper introduces the basic concept of social network analysis, focusing on the concept of centrality. 2) through the open platform of Sina Weibo, calling the API to obtain the user information, that is, the acquisition of experimental data, the network of Weibo is composed of friends, and the data analysis of Weibo network is carried out. It is found that Weibo network has shorter average path length and higher clustering coefficient, which verifies the small-world characteristic of Weibo network. In addition, it is found that the degree distribution of nodes in Weibo network obeys the power-law distribution. It is shown that the Weibo network has scale-free characteristics. By analyzing the variation of the degree of different nodes with time in the network, it is found that the fitness characteristic exists in the Weibo network. 3) using the analysis method of social network. This paper studies the role of users in the process of information dissemination in Sina Weibo network and the importance of users in the network. By calculating the vertex center degree, tight center degree and intermediate center degree of each node, the importance degree of each user's position in the network is analyzed from different emphasis. In order to determine the network in the process of information dissemination of different users play a role.
【學(xué)位授予單位】：湖南師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP393.092

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