本文選題：微博信息傳播 + 信息擴(kuò)散級(jí)聯(lián)��； 參考：《哈爾濱工業(yè)大學(xué)》2014年碩士論文

【摘要】：現(xiàn)在是一個(gè)信息化的時(shí)代，我們每天都接觸大量的信息，隨著網(wǎng)絡(luò)媒體的不斷推進(jìn)和演化，微博成為一個(gè)重要的信息交流平臺(tái)，，改變了傳統(tǒng)的信息交互方式。人們不但是信息的傳播者，而且也是信息的制造者，信息的內(nèi)容更加多樣化，信息傳播的時(shí)間也更加碎片化。對(duì)微博信息傳播的規(guī)律進(jìn)行挖掘和發(fā)現(xiàn)，可以使得我們深刻理解人們信息交互的本質(zhì)，為微博營(yíng)銷和輿情監(jiān)控等提供了理論依據(jù)。 本文結(jié)合復(fù)雜網(wǎng)絡(luò)的理論，對(duì)微博環(huán)境的信息傳播進(jìn)行了整體的分析，包括對(duì)微博信息傳播網(wǎng)絡(luò)的網(wǎng)絡(luò)結(jié)構(gòu)、微博信息傳播的特征和演化規(guī)律的研究，對(duì)微博信息傳播路徑和時(shí)間特性的分析，以及對(duì)用戶信息傳播能力的度量。 本文用用戶之間的轉(zhuǎn)發(fā)行為來(lái)刻畫(huà)微博環(huán)境中的信息傳播，首先隨機(jī)選取了45770名新浪微博用戶，選取了他們截止到2013年9月30日為止最新的100條微博，然后從每個(gè)用戶的100條微博中提取轉(zhuǎn)發(fā)記錄；對(duì)原始數(shù)據(jù)進(jìn)行清洗之后構(gòu)建了用戶轉(zhuǎn)發(fā)網(wǎng)絡(luò)，同時(shí)為了進(jìn)行對(duì)比，本文也基于用戶之間的關(guān)注關(guān)系構(gòu)建了用戶關(guān)注網(wǎng)絡(luò)；分析了兩個(gè)網(wǎng)絡(luò)在拓?fù)浣Y(jié)構(gòu)方面的特點(diǎn)，并對(duì)信息傳播網(wǎng)絡(luò)中信息傳播的特征和信息傳播網(wǎng)絡(luò)的拓?fù)渲笜?biāo)隨樣本量大小的演化規(guī)律進(jìn)行了分析。其次，進(jìn)一步分析了微博中信息傳播路徑的分布及其與用戶粉絲數(shù)的關(guān)系，并重點(diǎn)分析了微博信息傳播的時(shí)間規(guī)律，包括傳播時(shí)間和時(shí)間延遲兩個(gè)方面。最后，綜合了表征微博用戶自身屬性的三個(gè)指標(biāo)和表征用戶在信息傳播網(wǎng)絡(luò)中傳播能力的七個(gè)指標(biāo)，以主成分分析為理論依據(jù)，構(gòu)建了度量用戶影響力的數(shù)學(xué)模型，并給出了信息傳播能力排名前20的用戶。
[Abstract]:Now is an information age, we come into contact with a lot of information every day, with the continuous promotion and evolution of network media, Weibo has become an important information exchange platform, which has changed the traditional way of information exchange. People are not only the disseminators of information, but also the makers of information. The content of information is more diversified, and the time of information dissemination is more fragmented. Mining and discovering the rules of Weibo information dissemination can make us understand the essence of information exchange deeply and provide theoretical basis for Weibo marketing and public opinion monitoring and so on. Based on the theory of complex network, this paper analyzes the information transmission in Weibo environment, including the network structure of Weibo information communication network, the characteristics and evolution law of Weibo information transmission. This paper analyzes the characteristics of Weibo information transmission path and time, and measures the ability of user information transmission. In this paper, the forwarding behavior between users is used to describe the spread of information in the Weibo environment. First, 45770 Sina Weibo users are randomly selected, and their latest 100 Weibo as of Sept. 30, 2013, are selected. Then the forwarding records are extracted from each user's 100 Weibo. After cleaning the original data, the user forwarding network is constructed. In order to compare, this paper also constructs the user concern network based on the concern relationship between the users. In this paper, the characteristics of the two networks in topology structure are analyzed, and the characteristics of information transmission in the information dissemination network and the evolution law of the topological index of the information dissemination network with the sample size are analyzed. Secondly, the distribution of information transmission path in Weibo and its relationship with the number of users are analyzed, and the time law of Weibo information transmission is analyzed, including the time and time delay. Finally, three indexes representing the attributes of Weibo users and seven indicators representing the ability of users to spread in the information dissemination network are synthesized. Based on principal component analysis (PCA), a mathematical model is constructed to measure the influence of users. And gives the information dissemination ability ranking top 20 users.
【學(xué)位授予單位】：哈爾濱工業(yè)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

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本文編號(hào)：1913142