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复杂系统与复杂性科学  2015, Vol. 12 Issue (4): 71-78    DOI: 10.13306/j.1672-3813.2015.04.010
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营销信息在部分交叉免疫模型中的竞争传播
苏晓萍1, 宋玉蓉2
1.南京工业职业技术学院计算机与软件学院,南京 210046;
2.南京邮电大学自动化学院,南京 210003
Competitive Diffusion of Two Viral Marketing Information Based on Partial-Cross Immunity Model
SU Xiaoping1, SONG Yurong2
1. School of Computer & Software Engineering, Nanjing Institute of Industry Technology, NanJing 210046, China;
2. College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
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摘要 为更加真实地反映病毒营销中信息的竞争传播,基于经典SIS病毒传播模型建立了一个具有部分交叉免疫的信息竞争传播模型,描述两种传播概率不同的既有合作又有竞争关系信息的传播过程。仿真结果表明:当两信息完全排斥时,支持“赢者通吃”的经典生态学结论;当两种信息间存在一定合作时,合作概率越大较弱病毒存活的规模越大,但弱病毒需要依靠与强病毒的合作而存在;网络度分布越异质越有利于合作。
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苏晓萍
宋玉蓉
关键词 复杂网络竞争传播病毒式营销部分交叉免疫    
Abstract:In order to more truly reflect the competition and cooperation behavior in viral marketing, based on the classic propagation model SIS, a propagation model with partial cross-immunity is proposed. The model describes the propagation of two viruses which enjoy both cooperative and competitive relationship and have different propagation probability. Further, we in depth study two kinds of viral marketing information propagation characteristics with different network structure. Simulation results show that there is a phase transition: If the competition is harsh, then we can get the same results as classic ecology studies i.e. ‘winner takes all’; otherwise, the weaker information will survive. And the higher the probability of cooperation is the greater scale the weaker virus survives in. Simulation results also show that the weaker virus can survive only when it cooperates with the stronger one. Heterogeneous distribution of degree is conducive to cooperation.
Key wordscomplex networks    competitive diffusion    viral marketing    partial-cross immunity
收稿日期: 2013-12-09      出版日期: 2026-06-22
ZTFLH:  N93  
  N94  
基金资助:国家自然科学基金(61373136,61103051);教育部人文社会科学研究项目(12YJAZH120);南京工业职业技术学院重大项目(YK13-02-03)
作者简介: 苏晓萍(1971-),女,山东黄县人,硕士,副教授,主要研究方向为复杂网络上动态信息传播、知识发现。
引用本文:   
苏晓萍, 宋玉蓉. 营销信息在部分交叉免疫模型中的竞争传播[J]. 复杂系统与复杂性科学, 2015, 12(4): 71-78.
SU Xiaoping, SONG Yurong. Competitive Diffusion of Two Viral Marketing Information Based on Partial-Cross Immunity Model[J]. Complex Systems and Complexity Science, 2015, 12(4): 71-78.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2015.04.010      或      https://fzkx.qdu.edu.cn/CN/Y2015/V12/I4/71
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