摘要
为研究Web2.0网络信息传播的影响机制,提出并构建了基于复杂网络理论的改进SIR网络信息传播模型,通过多Agent仿真研究了网络度分布、网络平均度及初始激活节点对Web2.0网络信息传播的影响。研究结果表明,信息在无尺度网络中的传播速度比在正态网络中的传播速度要快,初始激活节点的度和网络的平均度对信息在网络中的传播起着决定性的影响,网络的关系紧密程度主要影响达到稳态后各状态节点的比例。研究结论可为在Web2.0环境的网络营销、舆情控制、新产品扩散等提供理论支持和运营参考。
In order to research the influence mechanism of information spreading in Web2.0 network, theimproved SIR information spreading model is proposed based on the complex network theory. TheMulti-Agent simulation model is built to study the web2.0 network information spreading mechanism withconsideration of degree distribution, the network＇s average node degree and initial activated node, Thesimulation results show that information spreading speed in scale-free network is faster than in normalnetwork, the initial activated node and the network average degree play a decisive impact on the networkinformation spreading, the relationship closeness of the network affect the proportion of each state node inthe steady state. The conclusions can provide theoretical support and operation reference for network marketing, public opinion control and new product diffusion.
出处
《情报科学》
CSSCI
北大核心
2015年第8期44-49,共6页
Information Science
基金
江西省自然基金项目(20151BAB207060
20114BAB201029)
江西省教育厅科技项目(GJJ12283)
