【摘要】：隨著信息化進(jìn)程的深入,網(wǎng)絡(luò)成為繼報(bào)紙、廣播和電視等傳統(tǒng)媒體之后的“第四媒體”,對人們工作、生活和社會輿論格局的影響日益深入,成為社會民意的晴雨表和民眾表達(dá)訴求的重要平臺。然而,網(wǎng)絡(luò)在降低民眾言論表達(dá)門檻的同時(shí),也成為謠言滋生、擴(kuò)散的重災(zāi)區(qū)。網(wǎng)絡(luò)輿情在產(chǎn)生、傳播的過程中受到來自多個(gè)方面因素的影響,選取合適的模型對網(wǎng)絡(luò)輿情進(jìn)行分析研究顯得日益重要。本文旨在結(jié)合超網(wǎng)絡(luò)理論對網(wǎng)絡(luò)輿情分析與應(yīng)用進(jìn)行研究,在網(wǎng)絡(luò)輿情分析建模的基礎(chǔ)上探索合適的網(wǎng)絡(luò)輿情引導(dǎo)策略。具體內(nèi)容包括如下三個(gè)方面:構(gòu)建基于超網(wǎng)絡(luò)的網(wǎng)絡(luò)輿情分析框架。在分析網(wǎng)絡(luò)輿情產(chǎn)生與演化機(jī)制及影響因素的基礎(chǔ)上,將網(wǎng)絡(luò)輿情的演化過程抽象為輿情主體在環(huán)境外驅(qū)力和心理內(nèi)驅(qū)力的共同作用下發(fā)表輿論觀點(diǎn)。從中提取輿情主體節(jié)點(diǎn)、驅(qū)動力節(jié)點(diǎn)和輿論觀點(diǎn)節(jié)點(diǎn)三類節(jié)點(diǎn),將節(jié)點(diǎn)中同質(zhì)節(jié)點(diǎn)間連接構(gòu)成子網(wǎng)絡(luò)層,異質(zhì)節(jié)點(diǎn)間連接構(gòu)成超邊,構(gòu)建了一個(gè)三層的超網(wǎng)絡(luò)輿情分析模型,為網(wǎng)絡(luò)輿情分析提供基本研究框架。同時(shí),對網(wǎng)絡(luò)輿情分析模型中的各類節(jié)點(diǎn)、子網(wǎng)絡(luò)層和超邊的屬性進(jìn)行闡述,并通過類比社會網(wǎng)絡(luò)分析的相關(guān)概念選取超網(wǎng)絡(luò)的測度指標(biāo)。構(gòu)建基于超網(wǎng)絡(luò)的關(guān)鍵因素識別模型。通過子網(wǎng)絡(luò)層分析、超邊排序、關(guān)鍵因素識別三個(gè)步驟構(gòu)建基于超網(wǎng)絡(luò)的網(wǎng)絡(luò)輿情關(guān)鍵因素識別模型。在子網(wǎng)絡(luò)層分析過程中從廣度和深度兩方面對環(huán)境子網(wǎng)進(jìn)行分析,結(jié)合猶豫模糊語言術(shù)語集對心理子網(wǎng)進(jìn)行分析,結(jié)合向量空間模型對觀點(diǎn)子網(wǎng)進(jìn)行分析;在此基礎(chǔ)上結(jié)合超誘導(dǎo)主題搜索算法提出改進(jìn)的超邊排序算法并構(gòu)建關(guān)鍵因素識別模型,進(jìn)而識別出各子網(wǎng)絡(luò)層的關(guān)鍵因素:輿情領(lǐng)袖、關(guān)鍵環(huán)境信息、主流心理情況和主流輿論觀點(diǎn)。探索基于超網(wǎng)絡(luò)的網(wǎng)絡(luò)輿情分析的應(yīng)用。通過運(yùn)用算例分析和綜合評價(jià)方法驗(yàn)證基于超網(wǎng)絡(luò)的網(wǎng)絡(luò)輿情關(guān)鍵因素識別模型的合理性和可靠性。并根據(jù)模型分析的結(jié)果,探索基于超網(wǎng)絡(luò)的網(wǎng)絡(luò)輿情分析的應(yīng)用點(diǎn)和基于超網(wǎng)絡(luò)的網(wǎng)絡(luò)輿情引導(dǎo)策略。
[Abstract]:With the deepening of information process, the network has become the "fourth media" after newspapers, radio and television and other traditional media, which has a deeper and deeper influence on people's work, life and public opinion pattern, and has become an important barometer of social public opinion and an important platform for the people to express their aspirations. However, while lowering the threshold for public expression, the Internet has also become a disaster area where rumors breed and spread. The network public opinion is influenced by many factors in the process of dissemination, so it is more and more important to select the appropriate model to analyze and study the network public opinion. The purpose of this paper is to study the analysis and application of network public opinion based on hypernetwork theory, and to explore the appropriate guiding strategy of network public opinion on the basis of network public opinion analysis and modeling. The specific content includes the following three aspects: the construction of network public opinion analysis framework based on hypernetwork. Based on the analysis of the mechanism and influencing factors of the emergence and evolution of network public opinion, the evolution process of network public opinion is abstracted into the expression of public opinion by the subject of public opinion under the joint action of external driving force and psychological driving force. Three kinds of nodes, namely, the main node of public opinion, the driving node and the node of opinion of public opinion, are extracted, and the connection between the homogeneous nodes in the node is formed into a sub-network layer, and the connection between heterogeneous nodes is formed into a superedge. A three-layer hypernetwork public opinion analysis model is constructed, which provides a basic research framework for the analysis of network public opinion. At the same time, the attributes of all kinds of nodes, subnetwork layer and superedge in the network public opinion analysis model are described, and the measurement index of hypernetwork is selected by analogy with the related concepts of social network analysis. The identification model of key factors based on hypernetwork is constructed. Through the analysis of subnetwork layer, hyperedge sorting and key factor identification, the recognition model of key factors of network public opinion based on hypernetwork is constructed. In the process of subnetwork layer analysis, the environmental subnet is analyzed from two aspects of breadth and depth, the psychological subnet is analyzed with hesitant fuzzy language terminology set, and the viewpoint subnet is analyzed with vector space model. On this basis, an improved hyperedge sorting algorithm is proposed and a key factor recognition model is constructed, and then the key factors of each sub-network layer are identified: public opinion leader, key environmental information, mainstream psychological situation and mainstream public opinion. Explore the application of network public opinion analysis based on hypernetwork. The rationality and reliability of the recognition model of key factors of network public opinion based on hypernetwork are verified by example analysis and comprehensive evaluation method. According to the results of model analysis, the application point of network public opinion analysis based on hypernetwork and the guiding strategy of network public opinion based on hypernetwork are explored.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：C912.63

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