一种基于社交影响力和平均场理论的信息传播动力学模型
An information diffusion dynamic mo del based on social influence and mean-field theory
摘要
Abstract
With the development of online social networks, they rapidly become an ideal platform for information about social information diffusion, commodity marketing, shopping recommendation, opinion expression and social consensus. The social network information propagation has become a research hotspot correspondingly. Meanwhile, information diffu-sion contains complex dynamic genesis in online social networks. In view of the diversity of information transmission, the efficiency of propagation and the convenience of interaction, it is very important to regulate the accuracy, strengthen the public opinion monitoring and formulating the information control strategy. The purpose of this study is to quantify the intensity of the influence, especially provides a theoretical basis for studying the state transition of different user groups in the evolution process. As existing epidemic model paid less at-tention to influence factors and previous research about influence calculation mainly focused on static network topology but ignored individual behavior characteristics, we propose an information diffusion dynamics model based on dynamic user behaviors and influence. Firstly, according to the multiple linear regression model, we put forward a method to analyze internal and external factors for influence formation from two aspects: personal memory and user interaction. Secondly, for a similar propagation mechanism of information diffusion and epidemics spreading, in this paper we present an improved SIR model based on mean-field theory by introducing influence factor. The contribution of this paper can be summarized as follows. 1) For the influence quantification, different from the current research work that mainly focuses on network structure, we integrate the internal factors and external factors, and propose a user influence evaluation method based on the multiple linear regression model. The individual memory principle is analyzed by combining user attributes and individual behavior. User interaction is also studied by using the shortest path method in graph theory. 2) On modeling the information diffusion, by referring SIR model, we introduce the user influence factor as the parameter of the state change into the epidemic model. The mean-field theory is used to establish the differential equations. Subsequently, the novel information diffusion dynamics model and verification method are proposed. The method avoids the randomness of the artificial setting parameters within the model, and reveals the nature of multi-factors coupling in the information transmission. Experimental results show that the optimized model can comprehend the principle and information diffusion mech-anism of social influence from a more macroscopic level. The study can not only explain the internal and external dynamics genesis of information diffusion, but also explore the behavioral characteristics and behavior laws of human. In addition, we try to provide theoretical basis for situation awareness and control strategy of social information diffusion.关键词
信息传播/传播动力学/社交影响力/平均场理论Key words
information dissemination/diffusion dynamics/individual influence/mean-field theory引用本文复制引用
肖云鹏,李松阳,刘宴兵..一种基于社交影响力和平均场理论的信息传播动力学模型[J].物理学报,2017,66(3):24-37,14.基金项目
国家重点基础研究发展计划(批准号: 2013CB329606)、国家自然科学基金(批准号:61272400)、重庆市青年人才项目(批准号: cstc2013kjrc-qnrc40004)、教育部–中国移动研究基金(批准号: MCM20130351)、重庆市研究生研究与创新项目(批准号:CYS14146)、重庆市教委科学计划项目(批准号: KJ1500425)和重庆邮电大学文峰基金(批准号: WF201403)资助的课题. Project supported by the National Basic Research Program of China (Grant No. 2013CB329606), the National Natural Science Foundation of China (Grant No. 61272400), the Chongqing Youth Innovative Talent Project, China (Grant No. cstc2013kjrc-qnrc40004), the Foundation of Ministry of Education of China and China Mobile (Grant No. MCM20130351), the Chongqing Graduate Research and Innovation Project, China (Grant No. CYS14146), the Science and Technology Research Program of the Chongqing Municipal Education Committee, China (Grant No. KJ1500425), the WenFeng Foun-dation of Chongqing University of Post and Telecommunications, China (Grant No. WF201403). （批准号: 2013CB329606）
