【摘要】：在線社交網(wǎng)絡(luò)的盛行改變了人們的交流方式,豐富了人們的社交關(guān)系網(wǎng)絡(luò)�；ヂ�(lián)網(wǎng)開放便捷的特性給人們的交流帶來便利的同時(shí),使得一些流言蜚語、病毒、謠言等在社交網(wǎng)絡(luò)平臺(tái)中流傳開來難以控制。當(dāng)前國(guó)內(nèi)外對(duì)復(fù)雜網(wǎng)絡(luò)傳播學(xué)的研究方興未艾,在線社交網(wǎng)絡(luò)這種新興媒體的傳播研究正面臨著巨大的挑戰(zhàn)。研究在線社交網(wǎng)絡(luò)中消息的傳播規(guī)律、分析網(wǎng)絡(luò)中輿論傳播的機(jī)理、找出輿論擴(kuò)散的關(guān)鍵因素以及關(guān)鍵節(jié)點(diǎn)可以有效地監(jiān)控輿情并及時(shí)阻斷不良言論在社交網(wǎng)絡(luò)中擴(kuò)散。目前學(xué)術(shù)界針對(duì)消息傳播問題的研究主要是基于復(fù)雜網(wǎng)絡(luò)傳播動(dòng)力學(xué)所建立的模型仿真進(jìn)行的,其中的一些理論、模型和方法都有助于更好的理解不同網(wǎng)絡(luò)的傳播行為。 然而,傳統(tǒng)的傳播模型由于其簡(jiǎn)單的理論特性往往難以描述真實(shí)在線社交網(wǎng)絡(luò)的消息傳播過程。因此,本文首先探討了傳統(tǒng)傳播模型的均場(chǎng)假設(shè)和接觸式退化機(jī)制在仿真在線社交網(wǎng)絡(luò)消息傳播的不足,分析了在線社交網(wǎng)絡(luò)的在線活躍行為特征、消息傳播的有向性特征以及節(jié)點(diǎn)的非均勻特性,在深入研究和探討復(fù)雜網(wǎng)絡(luò)傳播動(dòng)力學(xué)的基礎(chǔ)上,提出一個(gè)基于在線社交網(wǎng)絡(luò)的動(dòng)態(tài)消息傳播模型。模型引入一個(gè)退化函數(shù)使傳播者自發(fā)地退化成免疫者,避免了網(wǎng)絡(luò)核心節(jié)點(diǎn)的提前退化；動(dòng)態(tài)指定節(jié)點(diǎn)的權(quán)威度和免疫力,使模型可以描述在線社交網(wǎng)絡(luò)中節(jié)點(diǎn)間的拓?fù)洳町�；采納有向圖作為傳播網(wǎng)絡(luò),并可擴(kuò)展外部社會(huì)加強(qiáng)的影響因素,提高了模型的適用性和可擴(kuò)展性。 為了驗(yàn)證模型的有效性,本文分析了采集的三個(gè)新浪微博消息傳播網(wǎng)絡(luò)的基本拓?fù)湫再|(zhì)以及度分布特征,發(fā)現(xiàn)采集的實(shí)驗(yàn)網(wǎng)絡(luò)同樣具有小世界和無標(biāo)度特性。利用模型在該網(wǎng)絡(luò)中仿真消息的傳播,結(jié)果表明,不同參數(shù)變化下的仿真結(jié)果皆符合現(xiàn)實(shí)在線社交網(wǎng)絡(luò)中的消息傳播過程。最后,我們將模型應(yīng)用于識(shí)別網(wǎng)絡(luò)中有較高影響力的節(jié)點(diǎn),利用模型的單傳播源仿真實(shí)驗(yàn)評(píng)估了每個(gè)節(jié)點(diǎn)的傳播影響力,分析節(jié)點(diǎn)傳播影響力與中心性特征的相關(guān)性,結(jié)果顯示,有向社交網(wǎng)絡(luò)中節(jié)點(diǎn)的影響力并不能由κ-核的大小表征,而出度和緊密中心性為更好的描述標(biāo)量。該結(jié)果有助于識(shí)別消息傳播網(wǎng)絡(luò)中的關(guān)鍵節(jié)點(diǎn),并為進(jìn)一步研究在線社交網(wǎng)絡(luò)中消息、謠言等的傳播機(jī)理打下基礎(chǔ)。
[Abstract]:The prevalence of online social networks has changed the way people communicate and enriched their social networks. The open and convenient nature of the Internet brings convenience to people's communication, at the same time, makes some gossip, virus, rumor and so on in the social network platform to be difficult to control. At present, the research on complex network communication is in the ascendant at home and abroad, and the communication research of online social network is facing a great challenge. This paper studies the law of message dissemination in online social network, analyzes the mechanism of public opinion spread in the network, finds out the key factors of public opinion diffusion and the key nodes can effectively monitor public opinion and block the spread of bad speech in social network in time. At present, the research of message transmission in academic circles is mainly based on the simulation of the model established by the complex network propagation dynamics. Some of the theories, models and methods are helpful to better understand the propagation behavior of different networks. However, because of its simple theoretical characteristics, the traditional communication model is difficult to describe the message propagation process of real online social networks. Therefore, this paper first discusses the shortcomings of the traditional propagation model, such as the average field hypothesis and the contact degradation mechanism, in simulating the message transmission of the online social network, and analyzes the characteristics of the online active behavior of the online social network. On the basis of deeply studying and discussing the propagation dynamics of complex networks, a dynamic message propagation model based on online social networks is proposed. The model introduces a degradation function to make the communicator spontaneously degenerate into immune person, which avoids the degradation of network core nodes, dynamically designates the authority and immunity of nodes, so that the model can describe the topological differences between nodes in online social networks. By adopting directed graph as communication network and extending the influence factors of external social strengthening, the applicability and expansibility of the model are improved. In order to verify the validity of the model, this paper analyzes the basic topological properties and the degree distribution characteristics of the three collected Sina Weibo message dissemination networks. It is found that the collected experimental networks also have the small-world and scale-free characteristics. The model is used to simulate the propagation of messages in the network. The results show that the simulation results with different parameters are consistent with the process of message propagation in the real online social network. Finally, we apply the model to identify the nodes with high influence in the network, and use the single source simulation experiment to evaluate the propagation influence of each node, and analyze the correlation between the node propagation influence and the central characteristics. The results show that the influence of nodes in directed social networks can not be represented by the size of 魏-core, but the degree of outlier and compactness is a better representation of scalars. The results are helpful to identify the key nodes in the message dissemination network and lay a foundation for further research on the spreading mechanism of messages and rumors in online social networks.
【學(xué)位授予單位】：廣東工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：G206;TP393.09

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