【摘要】：隨著互聯(lián)網(wǎng)的發(fā)展和移動(dòng)終端的普及,以及不同類型社交網(wǎng)絡(luò)的蓬勃發(fā)展,網(wǎng)民頻繁的穿梭來(lái)回于不同的網(wǎng)絡(luò)層之間,作為信息傳播的載體,網(wǎng)民的行為導(dǎo)致信息跨網(wǎng)絡(luò)傳播。因此,包含多個(gè)基礎(chǔ)網(wǎng)絡(luò)層,且網(wǎng)絡(luò)層節(jié)點(diǎn)之間相互連接的耦合網(wǎng)絡(luò)系統(tǒng)更能反映現(xiàn)實(shí)網(wǎng)絡(luò)環(huán)境。在耦合網(wǎng)絡(luò)環(huán)境中研究信息傳播的規(guī)律并為監(jiān)管者提出有效管理措施具有重要的現(xiàn)實(shí)意義和理論意義。本文以經(jīng)典的SIR傳染病模型為基礎(chǔ),研究耦合網(wǎng)絡(luò)環(huán)境下信息傳播的特點(diǎn),以及耦合網(wǎng)絡(luò)結(jié)構(gòu)中節(jié)點(diǎn)即網(wǎng)民用戶的行為特征,將耦合網(wǎng)絡(luò)影響的作用力抽象為兩類新的傳播節(jié)點(diǎn)加入傳染病模型中,建立新的SI~3R信息傳播模型。針對(duì)模型建立的微分方程進(jìn)行系統(tǒng)動(dòng)力學(xué)分析。運(yùn)用MATLAB軟件對(duì)系統(tǒng)進(jìn)行數(shù)值仿真,其結(jié)果驗(yàn)證了理論分析的正確性,同時(shí)發(fā)現(xiàn)穩(wěn)定狀態(tài)下,新類型節(jié)點(diǎn)的出現(xiàn)延長(zhǎng)了信息傳播系統(tǒng)的弛豫時(shí)間,信息在網(wǎng)絡(luò)中留存的時(shí)間更久,傳播的范圍更廣。在耦合網(wǎng)絡(luò)環(huán)境中,為防止謠言跨網(wǎng)絡(luò)傳播,減少謠言帶來(lái)的影響,控制關(guān)鍵的跨網(wǎng)絡(luò)傳播信息的節(jié)點(diǎn)至關(guān)重要。根據(jù)以上結(jié)論,為耦合網(wǎng)絡(luò)環(huán)境中輿情控制提出有效且有針對(duì)性的對(duì)策,必須識(shí)別關(guān)鍵節(jié)點(diǎn)。通過綜合各節(jié)點(diǎn)在耦合系統(tǒng)中不同網(wǎng)絡(luò)層上的結(jié)構(gòu)特征,結(jié)合各類重要性要素,利用TOPSIS算法識(shí)別關(guān)鍵的跨網(wǎng)絡(luò)節(jié)點(diǎn),即文中的橋節(jié)點(diǎn)。建立雙層耦合網(wǎng)絡(luò)系統(tǒng),通過數(shù)值模擬來(lái)驗(yàn)證算法可行性。實(shí)驗(yàn)結(jié)果表明,文中從多個(gè)維度來(lái)考量節(jié)點(diǎn)性質(zhì)從而識(shí)別關(guān)鍵橋節(jié)點(diǎn)的方法確實(shí)可行。為耦合網(wǎng)絡(luò)環(huán)境中的輿情監(jiān)管提供了更為有效可行的對(duì)策。
[Abstract]:With the development of the Internet and the popularity of mobile terminals, as well as the vigorous development of different types of social networks, netizens frequently shuttle back and forth between different network layers. As a carrier of information dissemination, the behavior of Internet users leads to the spread of information across the network. Therefore, the coupled network system, which consists of multiple basic network layers and the nodes of the network layer are connected to each other, can better reflect the real network environment. It is of great practical and theoretical significance to study the law of information dissemination and put forward effective management measures for regulators in the coupled network environment. Based on the classical SIR infectious disease model, this paper studies the characteristics of information transmission in the coupled network environment, and the behavior characteristics of the nodes in the coupled network structure, that is, the Internet users. The interaction force of coupling network is abstracted into two kinds of new transmission nodes to be added to the infectious disease model, and a new SI~3R information transmission model is established. The system dynamics analysis is carried out for the differential equation established by the model. The numerical simulation of the system using MATLAB software verifies the correctness of the theoretical analysis. At the same time, it is found that the emergence of the new type of nodes in the stable state prolongs the relaxation time of the information dissemination system, and the information stays in the network longer. The spread is wider. In the coupled network environment, in order to prevent the spread of rumors across the network and reduce the impact of rumors, it is very important to control the key nodes of spreading information across networks. According to the above conclusions, it is necessary to identify the key nodes in order to provide effective and targeted countermeasures for the control of public opinion in the coupled network environment. By synthesizing the structural characteristics of each node on different network layers in the coupling system and combining all kinds of important elements, the key cross-network nodes are identified by using TOPSIS algorithm, that is, the bridge node in this paper. The two-layer coupled network system is established and the feasibility of the algorithm is verified by numerical simulation. The experimental results show that it is feasible to identify the key bridge nodes by considering the properties of the nodes from multiple dimensions. It provides more effective and feasible countermeasures for the supervision of public opinion in the coupled network environment.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.09;G206

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王金龍;劉方愛;朱振方;;一種基于用戶相對(duì)權(quán)重的在線社交網(wǎng)絡(luò)信息傳播模型[J];物理學(xué)報(bào);2015年05期

2 王超;楊旭穎;徐珂;馬建峰;;基于SEIR的社交網(wǎng)絡(luò)信息傳播模型[J];電子學(xué)報(bào);2014年11期

3 蒙在橋;傅秀芬;;基于在線社交網(wǎng)絡(luò)的動(dòng)態(tài)消息傳播模型[J];計(jì)算機(jī)應(yīng)用;2014年07期

4 劉曉芳;秦江濤;;基于Twitter的信息傳播仿真研究[J];科技與管理;2014年02期

5 李林;孫軍華;;基于社會(huì)網(wǎng)絡(luò)沖突信息傳播的群體特征[J];系統(tǒng)工程理論與實(shí)踐;2014年01期

6 王偉;楊慧;龔凱;唐明;都永海;;復(fù)雜網(wǎng)絡(luò)上的局域免疫研究[J];電子科技大學(xué)學(xué)報(bào);2013年06期

7 武澎;王恒山;李煜;;突發(fā)事件信息傳播超網(wǎng)絡(luò)中樞紐節(jié)點(diǎn)的判定研究[J];管理評(píng)論;2013年06期

8 王輝;韓江洪;鄧林;程克勤;;基于移動(dòng)社交網(wǎng)絡(luò)的謠言傳播動(dòng)力學(xué)研究[J];物理學(xué)報(bào);2013年11期

9 李國(guó)穎;成柏松;張鵬;李大慶;;相互依存網(wǎng)絡(luò)魯棒性研究綜述[J];電子科技大學(xué)學(xué)報(bào);2013年01期

10 錢穎;張楠;趙來(lái)軍;鐘永光;;微博輿情傳播規(guī)律研究[J];情報(bào)學(xué)報(bào);2012年12期

相關(guān)博士學(xué)位論文 前1條

1 于凱;雙層耦合網(wǎng)絡(luò)上的信息傳播模型研究[D];大連理工大學(xué);2015年

相關(guān)碩士學(xué)位論文 前2條

1 李合莉;多層在線社交網(wǎng)絡(luò)信息傳播模型研究[D];山東財(cái)經(jīng)大學(xué);2013年

2 徐騰龍;基于復(fù)雜網(wǎng)絡(luò)的微博信息傳播模型研究[D];東華大學(xué);2013年

，

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