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计算机工程

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符号网络中基于影响控制特性的传播模型

杨宝龙,吴国文   

  1. (东华大学计算机科学与技术学院,上海 201620)
  • 收稿日期:2014-08-28 出版日期:2015-09-15 发布日期:2015-09-15
  • 作者简介:杨宝龙(1989-),男,硕士研究生,主研方向:信任模型,传播模型;吴国文(通讯作者),副教授。

Diffusion Model Based on Influence Dominating Characteristic in Singed Network

YANG Baolong,WU Guowen   

  1. (School of Computer Science and Technology,Donghua University,Shanghai 201620,China)
  • Received:2014-08-28 Online:2015-09-15 Published:2015-09-15

摘要: 为探究病毒营销中存在的消极影响泛滥问题,提出一种在符号网络中基于影响控制特性的传播模型,并使用NetLogo仿真平台模拟在符号网络中的传播过程。仿真结果表明,改进传播模型负边在影响传播过程中对网络形势具有重要的导向作用,且在负边较少的情况下,具有局部聚类的特性,同时基于影响控制特性的传播模型在负边较少时,具有更强的局部聚类特性。

关键词: 病毒营销, 符号网络, 传播模型, 影响控制特性, NetLogo仿真

Abstract: In order to explore the phenomenon that the negative influence always lose control in viral marketing,this paper proposes a diffusion model in signed network,this paper simulates the spreading of influence in signed networks with NetLogo.Simulation results show that the negative relationships can control the situation of the networks,and the less of the negative relationships appear,the more same opinions cluster together,and this paper also shows that the diffusion model based on influence dominating characteristic has a better performance to restrain the clustering features when the negative relationships are less.

Key words: viral marketing, signed network, diffusion model, influence dominating characteristic, NetLogo simulation

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