【摘要】：作為新興的社會化軟件,博客,掀起了一場互聯(lián)網(wǎng)世界的新革命,為人們帶來了一種新的交流方式。學術(shù)界對它也是日益關(guān)注,對它的研究領(lǐng)域也已經(jīng)涉及到新聞學、傳播學、計算機網(wǎng)絡(luò)技術(shù)和社會學等學科。通過對博客在中國發(fā)展現(xiàn)狀的實證研究,為社交網(wǎng)絡(luò)平臺以及其他領(lǐng)域的發(fā)展提供數(shù)據(jù)依據(jù)。本文的研究對象是社交網(wǎng)絡(luò),以及如何促進博客間的交流。以理論為依據(jù)應(yīng)用統(tǒng)計方法和社交網(wǎng)絡(luò)分析方法對博客網(wǎng)絡(luò)進行分析和描述。通過社交網(wǎng)絡(luò)中存在的用戶行為,對其進行詳盡的挖掘和分析,探尋影響這些用戶行為的關(guān)鍵性因素。同時,本文嘗試建立準確的模型來刻畫用戶的行為,從而為實際的應(yīng)用需求服務(wù)。在本文闡述的研究工作不光注重懫用合理、有效的理論方法,更看重實驗結(jié)果和相關(guān)結(jié)論對實際的應(yīng)用場合能帶來的促進作用。關(guān)于本文的具體研究內(nèi)容,主要包含五個章節(jié)。第一章,主要是從當前社交網(wǎng)絡(luò)平臺的背景出發(fā)闡述該課題的研究意義及應(yīng)用領(lǐng)域,介紹了本論文準備解決的問題以及解決這些問題所用的相關(guān)方法;第二章,主要介紹了關(guān)于社交網(wǎng)絡(luò)方面的一些基本概念和理論,首先介紹了社交網(wǎng)絡(luò)分析的相關(guān)知識,比如中心度的一些概念等;緊接著對網(wǎng)絡(luò)傳播動力學展開討論,重點介紹了幾種重要的傳播模型;接下來對微博用戶的特征與類型進行了分析;最后對于用戶行為進行了詳細研究并介紹了常用的用戶行為模型;第三章,本章以用戶為中心,以微博中的熱點話題為例,進行了在社交網(wǎng)絡(luò)中的不同的用戶角色研究,通過考慮一個在線社交網(wǎng)絡(luò)的微博系統(tǒng),提出了基于關(guān)鍵詞的隱式鏈接和用戶關(guān)系網(wǎng)絡(luò)模型;第四章,本章主要的研究內(nèi)容是對用戶的行為規(guī)律進行總結(jié),并對用戶行為、社交網(wǎng)絡(luò)中信息的傳播機制進行了深入的分析,提出了社交網(wǎng)絡(luò)中信息的傳播模型;第五章,本章節(jié)先對協(xié)作學習做了基本介紹,然后借助社交網(wǎng)絡(luò)分析工具,對模糊多屬性決策問題在協(xié)作學習的方面,進行了完全評價以及改進了屬性權(quán)重信息的研究,再根據(jù)TOPSIS法的基本思想,計算出了每個方案之間的Hamming距離正理想解與負理想解,然后,根據(jù)加權(quán)Hamming距離,計算了相對貼近度到正理想方案的排名,最后,給出一個具體例子社交網(wǎng)絡(luò)分析在協(xié)作學習的評價研究。論文以研究社交網(wǎng)絡(luò)結(jié)構(gòu)為切入點,構(gòu)建了基于興趣衰減和自適應(yīng)興趣驅(qū)動模型、非齊次泊松模型的在線熱點話題關(guān)注模型,進而研究社交網(wǎng)絡(luò)對于協(xié)作學習的影響。模型對于學習的過程起到了關(guān)鍵性的作用,對于模型選擇的探索提供了便利的條件。
[Abstract]:As a new social software, blog has set off a new revolution in the Internet world and brought a new way of communication for people. Academic circles also pay more and more attention to it, and its research fields have been related to journalism, communication, computer network technology and sociology and so on. Through the empirical research on the status quo of blog development in China, it provides the data basis for the development of social network platform and other fields. The research object of this paper is social network and how to promote the communication between blogs. Based on the theory, the blog network is analyzed and described by using statistical method and social network analysis method. Through the user behavior in the social network, the author excavates and analyzes the user behavior in detail, and explores the key factors that affect the user behavior. At the same time, this paper attempts to establish an accurate model to describe the behavior of users, so as to serve the actual application requirements. The research work described in this paper not only focuses on the rational and effective theoretical methods, but also on the promotive effect of the experimental results and related conclusions on the practical applications. The specific research content of this paper mainly includes five chapters. In the first chapter, from the background of the current social network platform, the research significance and application field of this topic are expounded, and the problems to be solved in this paper and the relevant methods to solve these problems are introduced. The second chapter mainly introduces some basic concepts and theories about social network. Firstly, it introduces the relevant knowledge of social network analysis, such as some concepts of centrality. Secondly, it discusses the dynamics of network communication, introduces several important communication models, and analyzes the characteristics and types of Weibo users. Finally, the user behavior is studied in detail and the commonly used user behavior models are introduced. In the third chapter, this chapter takes the user as the center and the hot topic in Weibo as an example to study the different user roles in the social network. An implicit link and user relationship network model based on keywords is proposed. In the fourth chapter, the main research content of this chapter is to summarize the behavior of users, analyze the behavior of users and the mechanism of information dissemination in social networks, and put forward the model of information dissemination in social networks. In the fifth chapter, we first introduce the cooperative learning, and then, with the help of social network analysis tools, we evaluate the fuzzy multi-attribute decision making problem in the aspect of collaborative learning and improve the research of attribute weight information. Then, according to the basic idea of TOPSIS method, the positive and negative ideal solutions of Hamming distance between each scheme are calculated. Then, according to the weighted Hamming distance, the relative closeness degree to the ranking of positive ideal schemes is calculated. A concrete example of the evaluation of social network analysis in collaborative learning is given. Based on the research of social network structure, this paper constructs an online hot topic focus model based on interest attenuation and adaptive interest driven model and non-homogeneous Poisson model, and then studies the influence of social network on collaborative learning. The model plays a key role in the learning process and provides a convenient condition for the exploration of model selection.
【學位授予單位】：吉林大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：TP393.092

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