【摘要】：隨著網(wǎng)絡技術(shù)的發(fā)展,謠言作為一種典型的社會現(xiàn)象,它的傳播給社會秩序及經(jīng)濟發(fā)展帶來許多不良影響。深入研究謠言在網(wǎng)絡中的傳播機理和免疫策略對于維護社會和經(jīng)濟的和諧發(fā)展具有重要意義。社會網(wǎng)絡普遍具有社團結(jié)構(gòu)特性,因而提出針對社團網(wǎng)絡的謠言免疫策略顯得越來越重要。本文通過研究不同的網(wǎng)絡結(jié)構(gòu)、傳播模型及免疫策略,得到基于社團局域信息的謠言目標免疫策略。本文主要完成以下工作:(1)通過研究復雜網(wǎng)絡上的網(wǎng)絡統(tǒng)計特性、網(wǎng)絡模型和傳播模型,深入理解復雜網(wǎng)絡上的傳播動力學行為,為謠言的免疫策略研究建立基礎。(2)分析并計較了幾種免疫策略的優(yōu)缺點,針對網(wǎng)絡的社團結(jié)構(gòu)特性,研究了社團網(wǎng)絡上的謠言免疫策略。(3)結(jié)合幾種免疫策略的優(yōu)缺點,目標免疫效果顯著但是需要知道全局網(wǎng)絡信息,CBF基于社團網(wǎng)絡局域信息但是易引入異質(zhì)節(jié)點且所需免疫節(jié)點數(shù)目過多,本文謠言免疫方法克服了這兩種免疫方法所存在的問題,在已知有限網(wǎng)絡信息的情況下,建立基于重要社團邊緣節(jié)點的免疫策略。將本文方法與目標免疫和CBF免疫策略的效果進行了比較,發(fā)現(xiàn)本文方法在基于社團網(wǎng)絡局域信息的基礎上,以較少的免疫節(jié)點數(shù)目起到較好的免疫效果。
[Abstract]:With the development of network technology, rumors as a typical social phenomenon, its spread to the social order and economic development brought many adverse effects. It is of great significance to study the spreading mechanism and immune strategy of rumor in the network for maintaining the harmonious development of society and economy. Social networks generally have the characteristics of community structure, so it is more and more important to propose rumour immunization strategy against community networks. In this paper, we study different network structure, propagation model and immune strategy, and get the target immunization strategy based on community local information. The main work of this thesis is as follows: (1) through studying the statistical characteristics, network model and propagation model of complex network, we can deeply understand the behavior of propagation dynamics in complex network. (2) analyzing and considering the advantages and disadvantages of several immune strategies. (3) combining the advantages and disadvantages of several immune strategies, aiming at the characteristics of the community structure of the network, this paper studies the rumor immune strategy on the community network. (3) combining the advantages and disadvantages of several immune strategies, The immune effect of target is remarkable but the global network information is needed. CBF is based on local information of community network but it is easy to introduce heterogeneous nodes and the number of immune nodes needed is too many. The rumour immunization method in this paper overcomes the problems of these two immune methods. When the limited network information is known, an immune strategy based on important community edge nodes is established. The results of this method are compared with those of target immunization and CBF immunization strategy. It is found that the proposed method has a better immune effect with fewer immune nodes on the basis of local information of community network.
【學位授予單位】：西安理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：G206;O157.5

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本文編號：2279382