本文選題：微博 + 網(wǎng)絡(luò)特征��； 參考：《安徽工業(yè)大學》2014年碩士論文

【摘要】：微博是一種基于用戶關(guān)系的信息交流和溝通的社交網(wǎng)絡(luò)平臺，由于其使用方式便捷、傳播迅速、交互性強等特點，在信息分發(fā)和輿論傳播等方面發(fā)揮非常重要的作用，不僅改變了網(wǎng)絡(luò)信息傳播的形式和結(jié)構(gòu)，也改變了人們獲取和傳播信息的方式和習慣。研究微博網(wǎng)絡(luò)的信息傳播可以幫助正確了解其傳播特征和規(guī)律，有利于設(shè)計出更符合用戶習慣的各種信息服務(wù)，并能為實現(xiàn)科學監(jiān)測、引導和控制輿論傳播提供理論基礎(chǔ)和實踐指導。 本文選取新浪微博作為主要研究對象，在分析了微博用戶網(wǎng)絡(luò)特征、信息傳播特征等基礎(chǔ)上，采用用戶行為特征描述微博網(wǎng)絡(luò)信息傳播過程，設(shè)計基于用戶行為特征的信息傳播模型，并在真實的微博數(shù)據(jù)上模擬信息傳播的演化過程。主要工作如下： 對微博的用戶網(wǎng)絡(luò)拓撲特征和信息傳播規(guī)律的統(tǒng)計分析。本文在新浪微博的采樣數(shù)據(jù)上，首先統(tǒng)計了由微博用戶組成的復雜網(wǎng)絡(luò)的拓撲特征，并通過實驗證明網(wǎng)絡(luò)結(jié)構(gòu)對信息傳播的影響。然后分析了微博信息的轉(zhuǎn)發(fā)特征、微博信息傳播網(wǎng)絡(luò)圖的路徑特征，并結(jié)合傳播實例分析傳播網(wǎng)絡(luò)圖形成的影響因素。 根據(jù)微博用戶的行為特征的分析，描述微博網(wǎng)絡(luò)信息傳播過程，，并設(shè)計了基于用戶行為特征的微博信息傳播模型。按照用戶在信息傳播過程中的位置和作用，分析發(fā)文用戶、閱讀用戶和轉(zhuǎn)發(fā)用戶的行為特征對信息傳播的影響。在用戶歷史發(fā)布和轉(zhuǎn)發(fā)博文的數(shù)據(jù)上，計算發(fā)文用戶的影響力、閱讀用戶的閱讀習慣、轉(zhuǎn)發(fā)用戶的轉(zhuǎn)發(fā)偏好度，并將這些特征作為模型參數(shù)。本文在新浪微博真實數(shù)據(jù)的基礎(chǔ)上，通過調(diào)用模型算法，模擬信息傳播的過程，其仿真結(jié)果表現(xiàn)出的信息傳播特征與真實情況相符合。實驗以信息影響到的最終范圍作為評價標準，分別從使用微博子網(wǎng)絡(luò)數(shù)據(jù)和在線采集分析用戶數(shù)據(jù)兩個方面進行傳播范圍的預(yù)測，都得到了較高的準確率。該模型在用戶歷史行為的基礎(chǔ)上，準確描述了微博中信息傳播的過程和影響范圍，為下一步工作中微博輿情的發(fā)現(xiàn)和控制提供了依據(jù)。
[Abstract]:Weibo is a social network platform for information exchange and communication based on user relations. Because of its convenient use, rapid communication and strong interaction, Weibo plays a very important role in information distribution and public opinion dissemination. It not only changes the form and structure of network information dissemination, but also changes the way and habit of people to obtain and disseminate information. Studying the transmission of information on Weibo's network can help us to understand its characteristics and rules of communication correctly, to design a variety of information services that are more in line with the user's habits, and to realize scientific monitoring. Guide and control the dissemination of public opinion to provide theoretical basis and practical guidance. In this paper, Weibo of Sina is chosen as the main research object, on the basis of analyzing the characteristics of user network and information dissemination, user behavior features are used to describe the process of network information dissemination. The information transmission model based on user behavior is designed, and the evolution process of information transmission is simulated on the real Weibo data. The main tasks are as follows: To Weibo's user network topology characteristic and the information dissemination rule statistical analysis. Based on the sampling data of Sina Weibo, this paper firstly statistics the topological characteristics of the complex network composed of Weibo users, and proves the influence of the network structure on the information transmission through experiments. Then it analyzes the transmission characteristics of Weibo information, the path characteristics of Weibo information communication network chart, and analyzes the factors influencing the formation of the transmission network map with the example of communication. According to the analysis of Weibo user's behavior characteristics, this paper describes the process of information dissemination on Weibo network, and designs an information dissemination model based on user behavior characteristics. According to the position and function of users in the process of information dissemination, this paper analyzes the influence of the behavior characteristics of sending users, reading users and forwarding users on the dissemination of information. Based on the data published and forwarded by users in history, the influence of the users, the reading habits of the users and the forwarding preferences of the users are calculated, and these features are taken as the parameters of the model. Based on the real data of Weibo of Sina, this paper simulates the process of information transmission by calling the model algorithm, and the simulation results show that the characteristics of information transmission are consistent with the real situation. The experiment takes the final range of information as the evaluation standard and forecasts the spread range by using Weibo sub-network data and on-line collection and analysis of user data respectively. Based on the historical behavior of users, this model accurately describes the process and influence range of information dissemination in Weibo, and provides a basis for the discovery and control of public opinion in the next step.
【學位授予單位】：安徽工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.092

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相關(guān)期刊論文 前5條

1 樊鵬翼;王暉;姜志宏;李沛;;微博網(wǎng)絡(luò)測量研究[J];計算機研究與發(fā)展;2012年04期

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本文編號：1802538