基于节点态度的社交网络信息传播模型  

An Information Diffusion Model of Social Network Based on Node Attitude

作　　者：黄宏程[1,2] 孙欣然[1] 胡敏[1] 

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆大学计算机学院,重庆400044

出　　处：《工程科学与技术》2018年第1期113-119,共7页Advanced Engineering Sciences

基　　金：国家自然科学基金资助项目(61371097;61401051);重庆市科委基础与前沿研究计划资助项目(cstc2014jcyj A40039)

摘　　要：为了揭示信息在社交网络中传播的内在规律,对社交网络的信息传播过程进行深入的研究,社交网络的信息传播过程除了受信息本身的吸引力和社交环境的影响,同时受节点对消息的态度的影响。然而,现有信息传播模型对节点态度考虑不足,不能体现节点态度的差异对信息传播所产生影响。本文结合传染病模型并考虑节点态度,提出了一种基于节点态度的社交网络信息传播模型,旨在分析节点态度对信息传播的影响,为研究社交网络的信息传播机理提供理论依据。首先,考虑到不同节点的态度及其变化规则的差异,从个体角度出发,基于节点行为定义了节点态度及其更新原则。其次,在传统传染病动力学SIRS模型基础上,结合信息传播与传染病感染扩散类似的传播机理,综合考虑节点态度对信息传播状态转移的影响,利用社会学习理论得到一种基于节点态度的社交网络传播模型。该模型能够分析节点态度对信息传播的影响,给出传播规则,并刻画信息传播的演化规律。最后,采用新浪微博的真实数据对本文的传播模型进行了仿真实验,仿真结果验证了节点态度影响着信息的传播,证明了本文所提模型能够更准确地描述信息传播规律,反映社交网络的信息传播过程。In order to reveal the inherent laws of information diffusion in social network,the process of information diffusion in social network was studied in-depth.It was found that the process of information diffusion in social network was not only influenced by the attraction of information and social environment,but also influenced by the attitude of nodes to information.However,the existing information diffusion models rarely considered the attitude of the nodes,and thuscould not reflect the impact of different attitudes of the nodes on the process of information diffusion.Therefore,a node attitude-based information diffusion model was proposed in social network,which combined the node attitude and SIRS model to analyze the influence of node attitude on information diffusion.It also provided the theoretical basis for the study of information diffusion mechanism in social network.In particular,considering the differences in the attitude of different nodes and their change rules,the node attitudes of nodes and their updating principles were respectively defined based on the node behavior.Furthermore,combining the information diffusion and the SIRS model-based infection spread mechanism as well as the impact of node attitude on diffusion state transition,an information diffusion model in social network based on node attitude were obtained by exploiting the social learning theory.The model could describe the diffusion rules,reveal the evolution law of information diffusion and analyze the influence of node attitude on information diffusion.At last,datasets from Sina micro-blog were used as the experimental data in the simulation.The simulation results showed that the attitude of node affected the information diffusion.Meanwhile,it was also demonstrated that the proposed model was more accurate in revealing the information diffusion law and reflecting the process of information diffusion.

关 键 词：社交网络 信息传播模型 SIRS 节点态度 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]