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基于多Agent和改进Deffaunt模型的信息传播建模与仿真
引用本文:王润,赵军.基于多Agent和改进Deffaunt模型的信息传播建模与仿真[J].计算机系统应用,2021,30(2):237-242.
作者姓名:王润  赵军
作者单位:宁夏大学信息工程学院,银川750021;宁夏大学信息工程学院,银川750021
基金项目:国家自然科学基金(71461025)
摘    要:研究社会化营销中的信息传播对提出合理策略建议、提升企业竞争力有重要意义.信息传播是一个存在个体交互的复杂过程,多数信息传播模型中对现实情况做了较多的简化,没有考虑个体的异质属性对信息传播的影响,也无法体现个体间的交互,本文从复杂系统的角度研究信息传播过程,运用多Agent方法建立信息传播模型,并基于改进的Deffaunt模型建立多Agent交互机制,通过模拟仿真分析了不同因素对信息传播的影响,发现个体的异质属性、个体间的相互影响力以及外界环境的因素对信息传播的速度和范围均有一定的影响..

关 键 词:社会化营销  信息传播  多AGENT  交互  仿真
收稿时间:2020/6/27 0:00:00
修稿时间:2020/7/27 0:00:00

Modeling and Simulation of Information Dissemination Based on Multi-Agent and Improved Deffaunt Model
WANG Run,ZHAO Jun.Modeling and Simulation of Information Dissemination Based on Multi-Agent and Improved Deffaunt Model[J].Computer Systems& Applications,2021,30(2):237-242.
Authors:WANG Run  ZHAO Jun
Affiliation:College of Information Engineering, Ningxia University, Yinchuan 750021, China
Abstract:Studying the information dissemination in social marketing is of great significance in putting forward reasonable strategy suggestions and enhancing the competitiveness of enterprises. Information dissemination is a complex process that involves individual interaction. Most information dissemination models simplify the reality, failing to consider the influence of individual heterogeneity on information dissemination, nor can they reflect the interaction between individuals. This work studies the information dissemination process from the perspective of a complex system, uses the multi-Agent method to establish the information dissemination model, and builds the multi-Agent interaction mechanism based on the improved Deffaunt model. Also, this study analyzes the influence of different factors on information dissemination through simulation, and finds the individual heterogeneous attributes, mutual influence between individuals, and external environmental factors all have influence on the speed and scope of information dissemination.
Keywords:social marketing  information dissemination  multi-Agent  interaction  simulation
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