基于群体视角的社交网络信息传播模型研究

发布时间：2018-04-23 16:23

本文选题：社交网络 + 群体视角　；参考：《山东师范大学》2017年硕士论文

【摘要】：随着互联网络的发展,网络生活特别是社交网络已经彻底融入到真实生活之中,成为生活的一部分。互联网络让我们脱离地域空间的限制,而社交网络极大的扩展了我们的关系网络,使我们更为容易和方便的与他人建立沟通并获取信息。然而社交网络在改变我们行为方式的同时也产生了很多负面的影响,由于社交网络的特性,海量信息在社交网络中迅速的流动,而其中很多不良信息的传播会对社会造成危害,引起人们的恐慌,甚至造成社会的动荡。探究社交网络信息传播规律、把握人们的传播行为特点,本质上是对人的传播行为的影响因素的探究。人的社会性使我们不能够脱离群体而独立存在,即使是在能够映射真实关系的社交网络中。群体是个体存在和发展的基础,人的一切活动都要受到所在各种各样群体的影响。本文将群体因素作为研究社交网络中人的信息传播行为的重要切入点,基于群体视角对社交网络中信息传播行为进行探究。在充分考虑群体因素对个体信息行为影响的基础上,针对影响信息传播的三类因素,构建基于群体属性的社交网络信息传播模型,并实验分析信息特性、网络拓扑特性、个体影响力等对个体观点变化和传播行为的影响。针对现实中个体处于多群体状态的多层网络重叠现象,探究在双层网络拓扑结构下与单一网络信息传播过程的不同,通过实验得出网络个体重合比例、权威节点分布等因素对双层网络信息传播都会产生重要影响。
[Abstract]:With the development of Internet, network life, especially social network, has been fully integrated into real life and become a part of life. The Internet allows us to break away from the constraints of geographical space, while social networks greatly expand our network of relationships, making it easier and easier for us to establish communication and access to information with others. However, social network not only changes our behavior, but also has a lot of negative effects. Because of the characteristics of social network, mass information flows rapidly in social network, and many of the bad information will cause harm to the society. Cause people to panic, even cause social unrest. To explore the law of social network information dissemination and grasp the characteristics of people's communication behavior is essentially to explore the influence factors of people's communication behavior. The sociality of human beings prevents us from being independent from groups, even in social networks that can map real relationships. Group is the foundation of individual existence and development. All human activities are influenced by all kinds of groups. In this paper, the group factor is regarded as an important breakthrough point to study the behavior of information dissemination in social network, and the behavior of information dissemination in social network is explored based on the group perspective. On the basis of fully considering the influence of group factors on individual information behavior, a social network information transmission model based on group attributes is constructed for three kinds of factors, and the information characteristics and network topology characteristics are analyzed experimentally. The influence of individual influence on individual opinion change and communication behavior. In view of the multi-layer network overlap phenomenon in which the individual is in the multi-group state in reality, this paper explores the differences between the two-layer network topology structure and the single network information transmission process, and obtains the overlap ratio of the network individuals through experiments. The distribution of authority nodes and other factors will have an important impact on the information dissemination of double-level network.
【学位授予单位】：山东师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G206

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