【摘要】：隨著互聯(lián)網(wǎng)的發(fā)展，產(chǎn)生了包括Web在內(nèi)的許多不同的信息網(wǎng)絡(luò)。微博(Micro-Blog)就是其中的一種，作為一種社會(huì)網(wǎng)絡(luò)與網(wǎng)絡(luò)新媒體，微博信息傳播速度快，使用方便，，已成為互聯(lián)網(wǎng)上最受歡迎的服務(wù)之一。微博網(wǎng)絡(luò)中最基本的關(guān)系是關(guān)注關(guān)系，微博用戶之間可以很容易地建立這種關(guān)系，導(dǎo)致微博用戶之間的關(guān)系錯(cuò)綜復(fù)雜。研究微博用戶關(guān)系具有重要意義，在輿情監(jiān)控，信息推薦、網(wǎng)絡(luò)營(yíng)銷方面具有廣泛應(yīng)用前景。 為了揭示微博用戶關(guān)系的一般規(guī)律，本文以新浪微博為例，引入復(fù)雜網(wǎng)絡(luò)分析方法對(duì)微博關(guān)注關(guān)系網(wǎng)絡(luò)進(jìn)行研究。首先，研究了微博關(guān)注關(guān)系網(wǎng)絡(luò)的無(wú)標(biāo)度特性和小世界特性，發(fā)現(xiàn)微博關(guān)注關(guān)系網(wǎng)絡(luò)具有復(fù)雜網(wǎng)絡(luò)的典型特征。其次對(duì)微博關(guān)注關(guān)系網(wǎng)絡(luò)進(jìn)行K-核分解，并對(duì)K-核網(wǎng)絡(luò)的基本參數(shù)、跟隨比例、中心性和度相關(guān)性等進(jìn)行分析，結(jié)果表明K-核網(wǎng)絡(luò)既具有在線社會(huì)網(wǎng)絡(luò)的一般特征，也具有現(xiàn)實(shí)社會(huì)網(wǎng)絡(luò)的特點(diǎn)。通過(guò)對(duì)K-核網(wǎng)絡(luò)的社區(qū)檢測(cè)，并進(jìn)行中心性、互惠性、中間人角色分析，發(fā)現(xiàn)其網(wǎng)絡(luò)結(jié)構(gòu)具有明顯的社區(qū)特性，社區(qū)內(nèi)用戶之間趨向于以關(guān)系驅(qū)動(dòng)的形式構(gòu)建網(wǎng)絡(luò)，這為完善微博社區(qū)信息交流提供了借鑒。最后在微博關(guān)注關(guān)系網(wǎng)絡(luò)基礎(chǔ)上構(gòu)建了用戶評(píng)論網(wǎng)絡(luò)，并研究了其復(fù)雜網(wǎng)絡(luò)特征，實(shí)驗(yàn)結(jié)果表明社區(qū)內(nèi)用戶之間的交流與社區(qū)的社會(huì)屬性具有相關(guān)性，交流最頻繁的社區(qū)是以師生或同學(xué)關(guān)系構(gòu)建的社區(qū)，最稀疏的是以廣告營(yíng)銷關(guān)系構(gòu)建的社區(qū)；對(duì)核心用戶進(jìn)行了實(shí)證分析，結(jié)果表明關(guān)注關(guān)系網(wǎng)與評(píng)論關(guān)系網(wǎng)中用戶之間進(jìn)行信息傳遞所依賴的核心用戶不一致，揭示了微博社區(qū)信息交流與人際互動(dòng)的特征。 論文最后對(duì)所做工作進(jìn)行了總結(jié)與評(píng)述，并提煉了使用復(fù)雜網(wǎng)絡(luò)分析方法對(duì)微博網(wǎng)絡(luò)結(jié)構(gòu)可做深入分析的若干問(wèn)題，為今后的研究指明了方向。
[Abstract]:With the development of Internet, there are many different information networks including Web. Weibo (Micro-Blog) is one of them. As a new social network and network media, Weibo information dissemination speed, easy to use, has become one of the most popular services on the Internet. The most basic relationship in Weibo's network is the relationship of concern, which can be easily established between the users of Weibo, which leads to the complicated relationship between the users of Weibo. It is of great significance to study Weibo's user relationship and has a broad application prospect in public opinion monitoring, information recommendation and network marketing. In order to reveal the general law of Weibo's user relationship, this paper introduces a complex network analysis method to study the relationship network of Weibo's concern with the Sina Weibo as an example. Firstly, the scale-free and small-world characteristics of Weibo's attention relationship network are studied, and it is found that Weibo's concern relationship network has the typical characteristics of complex network. Secondly, the paper analyzes the basic parameters, following ratio, centrality and degree correlation of Weibo's concern relation network. The results show that the K- nuclear network has the general characteristics of online social network. Also has the real social network characteristic. Through the community detection of the K- nuclear network and the analysis of the centrality, reciprocity and the role of the middleman, it is found that the network structure has obvious community characteristics, and the users in the community tend to construct the network in the form of relationship drive. This provides a reference for improving Weibo's community information exchange. Finally, the user comment network is constructed on the basis of Weibo's attention relationship network, and the characteristics of its complex network are studied. The experimental results show that the communication among users in the community is related to the social attribute of the community. The community with the most frequent communication is the one constructed by teacher-student or schoolmate relationship, and the most sparse one is the one constructed by advertising marketing relationship. The empirical analysis of the core users shows that the core users who rely on the information transmission between the users in the relationship network and the comment network are not consistent, which reveals the characteristics of Weibo community information exchange and interpersonal interaction. In the end, the paper summarizes and comments on the work done, and abstracts some problems which can be deeply analyzed by using the complex network analysis method, and points out the direction of the future research.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.092;O157.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 柏文潔;汪秉宏;周濤;;從復(fù)雜網(wǎng)絡(luò)的觀點(diǎn)看大停電事故[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2005年03期

2 周濤;肖偉科;任捷;汪秉宏;;網(wǎng)絡(luò)集團(tuán)度的冪律分布[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2007年02期

3 周濤;;在線電影點(diǎn)播中的人類動(dòng)力學(xué)模式[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2008年01期

4 李楠楠;周濤;張寧;;人類動(dòng)力學(xué)基本概念與實(shí)證分析[J];復(fù)雜系統(tǒng)與復(fù)雜性科學(xué);2008年02期

5 余高輝;楊建梅;曾敏剛;;QQ群好友關(guān)系的復(fù)雜網(wǎng)絡(luò)研究[J];華南理工大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2011年04期

6 郭進(jìn)利;;博客評(píng)論的人類行為動(dòng)力學(xué)實(shí)證研究和建模[J];計(jì)算機(jī)應(yīng)用研究;2011年04期

7 李亮;朱慶華;;社會(huì)網(wǎng)絡(luò)分析方法在合著分析中的實(shí)證研究[J];情報(bào)科學(xué);2008年04期

8 何黎;何躍;霍葉青;;微博用戶特征分析和核心用戶挖掘[J];情報(bào)理論與實(shí)踐;2011年11期

9 王曉光;袁毅;滕思琦;;微博社區(qū)交流網(wǎng)絡(luò)結(jié)構(gòu)的實(shí)證分析[J];情報(bào)雜志;2011年02期

10 楊小朋;何躍;;騰訊微博用戶的特征分析[J];情報(bào)雜志;2012年03期

相關(guān)博士學(xué)位論文 前2條

1 朱天;社會(huì)網(wǎng)絡(luò)中節(jié)點(diǎn)角色以及群體演化研究[D];北京郵電大學(xué);2011年

2 賴大榮;復(fù)雜網(wǎng)絡(luò)社團(tuán)結(jié)構(gòu)分析方法研究[D];上海交通大學(xué);2011年

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