复杂网络视角下异质个体意见传导与演化研究

发布时间：2018-05-25 13:35

本文选题：复杂网络 + 异质性　；参考：《南京理工大学》2017年硕士论文

【摘要】：近些年来,个体意见形成原因及转变因素领域得到了广泛学者的关注,并已取得了丰硕的研究成果。然而随着互联网技术的发展,社交媒体逐渐兴起,个体不再孤立,而是作为社会群体中的一员,在社会化的过程中与其他个体相互影响,而正由于此才不断推动了整个社会的演化。因此研究个体意见形成与转变的内在机制,探索群体意见的演化进程,显得尤为关键。本文从个体、社会网络环境这两个方面逐一进行理论梳理和仿真建模。个体方面侧重对个体异质性、意见传导与转变的剖析,而社会网络方面则注重对个体所处社会的结构特征、动态性及意见演化的探究。首先个体方面,本文借鉴个体异质性和相似度的相关理论,对相似度、局部影响力以及全局影响力等个体特征创建量化模型,进而探讨异质性表征;关于意见的传导,本文将意见传递者划分为社会网络中相连邻居、大众媒体;为研究个体意见形成与传导机制,本文研究了说服理论、意见动力学、有限信任模型、仓室模型、影响力网络模型这五个意见转变模型,最终梳理出基于影响力网络模型的离散型与基于有限信任模型的连续型两类意见。其次社会网络方面,本文总结了复杂网络的结构特征度量方式和网络演化模型,并在此基础上,设计边重连和新增节点两种网络模型动态演化的方式,进而提炼模型公共参数,为后续实验工具的开发、实验参数的配置提供依据,并使意见传导与演化仿真实验获得便捷。基于以上模型构建,本文从个体异质性表征、大众媒体相关特征、社会网络特点切入,利用研发的实验工具,设计实验,观测不同参数配置条件下,社会系统中异质个体意见形成以及个体间意见的相互影响和传导机制,以及随着时间的迭代,个体意见的传导过程以及社会系统总体意见演化过程与结果。
[Abstract]:In recent years, many scholars have paid close attention to the formation of individual opinion and its changing factors, and have made great achievements. However, with the development of Internet technology, social media is rising gradually, the individual is no longer isolated, but as a member of the social group, in the process of socialization with other individuals, It is because of this that the continuous promotion of the entire society's evolution. Therefore, it is very important to study the internal mechanism of formation and transformation of individual opinion and to explore the evolution process of group opinion. In this paper, the individual, social network environment from the two aspects of theoretical combing and simulation modeling. The individual aspect focuses on the analysis of individual heterogeneity, opinion transmission and transformation, while the social network focuses on the structural characteristics, dynamics and opinion evolution of the society in which the individual lives. First of all, in the aspect of individual, this paper draws lessons from the theory of individual heterogeneity and similarity degree, and builds a quantitative model for individual characteristics such as similarity, local influence and global influence, and then discusses the representation of heterogeneity. In order to study the mechanism of individual opinion formation and transmission, this paper studies persuasion theory, opinion dynamics, limited trust model, storeroom model. The five opinion transformation models of influence network model finally sort out two kinds of opinions: discrete model based on influence network model and continuous type based on limited trust model. Secondly, in the aspect of social network, this paper summarizes the structure characteristic measurement and network evolution model of complex network, and on this basis, designs two kinds of dynamic evolution mode of network model, namely edge reconnection and new node, and then abstracts the common parameters of the model. It provides the basis for the development of the following experimental tools and the configuration of experimental parameters, and makes the simulation experiment of opinion transmission and evolution more convenient. Based on the above model, this paper starts with the characteristics of individual heterogeneity, mass media, social network, designs experiments and observes different parameter configurations by using the experimental tools of R & D. In the social system, the formation of heterogeneous individual opinions and the interaction and transmission mechanism of individual opinions, as well as the process of individual opinion transmission and the evolution process and results of the overall opinions of the social system with the iteration of time.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：O157.5;G201

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