摘要
小世界网络是社会群体的最基本网络拓扑形式,作为群体中的一个自然人,既是信息传播的媒介,又可能是信息异化的制造者。因此,通过采用二进制串来量化信息元素,并结合信息熵构建信息交互的演化博弈法则,同时引入系统保守因子和个体置信因子来耦合信息异化和传播的效应,提出了一种小世界网络的信息异化传播的方法。仿真结果表明,相同的个体置信因子、群体的平均信息熵及信息种类多样性与系统保守因子成反比。当个体置信因子取极端值时,无论系统保守因子的大小,群体的平均信息熵都极小。可见,该模型对研究社会群体的信息异化传播现象提供了一种新的研究思路和探索方法。
The small world network is the most basic network topology form of social groups.As a natural person in the group,it is not only the medium of information dissemination,but also the maker of information alienation.Therefore,this paper uses binary strings to quantify information elements and combines information entropy to build the evolutionary game rules of information interaction.At the same time,it introduces system conservative factors and individual confidence factors to coupling the effects of information alienation and dissemination,and puts forward a basic idea of information alienation and dissemination in small world networks.Simulation results show that the same individual confidence factor,the average information entropy of the population and the diversity of information types are inversely proportional to the system conservative factor.When the individual confidence factor reaches the extreme value,the average information entropy of the group is extremely small regardless of the size of the system conservative factor.This model provides a new research idea and exploration method for studying the phenomenon of information alienation and dissemination of social groups.
作者
岳梦莹
汪超
谢能刚
YUE Mengying;WANG Chao;XIE Nenggang(Department of Management Science and Engineering,Anhui University of Technology,Ma'anshan Anhui 243002,China;College of Civil Engineering and Architecture,Anhui Polytechnic University,Wuhu Anhui 241000,China)
出处
《信息与电脑》
2022年第18期198-201,共4页
Information & Computer
基金
安徽省哲学社会科学规划项目研究成果(项目编号:AHSKQ2021D116)。
关键词
信息异化
信息传播
小世界网络
保守因子
置信因子
information alienation
information dissemination
small world network
conservative factor
confidence factor