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基于群体特征的复杂网络信息传播建模 被引量:3

Information Spreading in Complex Networks Based on Population Characteristics
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摘要 为对不同人群中信息传播进行有效控制,建立了基于群体特征的复杂网络信息传播模型,研究了网络拓扑结构、社会强化作用和群体传播特征对信息传播的影响.仿真结果表明:群体传播特征的同质性更有利于信息的传播;小世界网络中行为传播范围较广,无标度网络在传播过程早期具有最快的传播速度;信息传播的范围随社会强化作用的增加而增加,异质群体中这一趋势更加明显. To control information spreading in different populations effectively, an informationspreading model was built considering population characteristics and the simulation experimentswere conducted in different networks to study the influence of network topology, socialreinforcement and population characteristics on information spreading. The results show that thehomophyly of population characteristics is more beneficial to information spreading. Informationspreads wider in small-world network and faster in scale-free network in the early process. Largerspreading scale comes with stronger social reinforcement. This tendency is more obvious inheterogeneous population. The results will be of a certain reference value in informationspreading management.
出处 《北京理工大学学报》 EI CAS CSCD 北大核心 2015年第8期872-875,880,共5页 Transactions of Beijing Institute of Technology
基金 国家自然科学基金资助项目(71272057 70972006) 教育部"新世纪优秀人才支持计划"(NCET-11-0792)
关键词 群体特征 复杂网络 SIR模型 信息传播 population characteristics complex networks SIR model information spreading
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