面向超网络的熵理论信息异化传播研究  

A Hypernetwork-oriented Study of the Propagation for Entropy-theoretic Information Alienation

作　　者：汪超 岳梦莹 马亮亮 王璐 Wang Chao;Yue Mengying;Ma Liangliang;Wang Lu(College of Civil Engineering and Architecture,Anhui Polytechnic University,Wuhu,China;Department of Management science and Engineering,Anhui University of Technology,Ma'anshan,China)

机构地区：[1]安徽工程大学建筑工程学院,安徽芜湖 [2]安徽工业大学管理科学与工程学院,安徽马鞍山

出　　处：《科学技术创新》2023年第24期88-91,共4页Scientific and Technological Innovation

基　　金：安徽省哲学社会科学规划项目研究成果(项目编号:AHSKQ2021D116)。

摘　　要：针对异化信息传播过程问题,提出了超网络视觉下的信息异化动态传播模型。该模型将信息熵理论融合到个体的传播机制中,同时结合超图中的模体子网络结构来重新定义传播因子和个体信任概率,从而揭示出一些复杂异化传播的非线性动力学现象。相关仿真结果表明,系统守恒因子越大,越容易抑制群体的信息传播进程;信息熵在传播因子的某个阈值内存在极化和坍塌现象。该模型可以为超网络信息传播提供有力的工具和新视角。To address the problem of heterogeneous information propagation process,a dynamic propagation model of information heterogeneity under hypernetwork vision is proposed.The model integrates the information entropy theory into the propagation mechanism of individuals,and also incorporates the structure of the modal sub-network in the hypergraph to redefine the propagation factor and the individual trust probability,so as to reveal some nonlinear dynamics phenomena of the complex heterogeneous propagation.The relevant simulation results show that the larger the system conservation factor is,the easier it is to inhibit the information propagation process of the group;the information entropy has polarization and collapse phenomena within a certain threshold of the propagation factor.The model can provide a powerful tool and a new perspective for hypernetwork information dissemination.

关 键 词：超网络 信息熵 信息异化 信息传播 非线性 

分 类 号：TN911.1[电子电信—通信与信息系统]