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中文摘要：
为了研究警报在社会关系网络环境中的传播特征及影响因素，基于多主体建模软件Repast仿真平台，以复杂系统和复杂网络理论为指导，在ER随机网络和WS小世界网络模型的基础上建立了警报的传播模型．对社会关系网络结构和信息源节点规则进行不同设置，通过对模拟结果的研究发现具有高聚类系数的网络结构和信息源选择高连接度的节点时，警报通知的传播效率明显提高．
英文摘要：
This paper focuses on the dissemination characteristics and the influence factors of warning in a social network. Under the guidance of complex adaptive systems and complex network theories, a dissemination model of warning by using the multi-agent software of Repast was built based on ER random network and WS small world network. A simulation was performed at different settings of social network structure and selection rules in source nodes. By analyzing the simulation results the dissemination efficiency of warning is obviously improved when the clustering coefficient is high or the source nodes are at a high level of connectivity.
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