摘要
非常规突发事件在线信息的传播演化过程中,衍生信息不断的更新叠加,影响在线信息的传播轨迹。有效识别其关键在线信息成为刻画和研判非常规突发事件在线信息传播规律的重点。因此,基于复杂网络模型,构建考虑衍生信息对原生信息的影响程度即互因子α的非常规突发事件关键在线信息挖掘模型,在一定程度上也了解了非常规突发事件在线信息的基本演化路径。算例仿真结果表现,新模型能有效识别出突发事件在线信息的传播演化规律中的关键节点或关键在线信息,为有效预警非常规突发事件提供借鉴与指导。
On-line information dissemination of unconventional emergencies involves original and derivative information,and the continuously updated derivative information can significantly affect the evolution of the dissemination.Therefore,to judge the on-line information dissemination development,focus should be given on the identifying and mining of the key on-line information.Using the complex network theory,this paper discusses key information mining model of unconventional emergencies considering interacted factor α.Simulation results show the proposed mining model can effectively find the key nodes and /or critical facts of the dissemination evolution in question.The key information mining model can be used to further reveal the evolution and to provide guidance for effective early warning of unconventional emergencies.
出处
《情报杂志》
CSSCI
北大核心
2014年第10期25-32,46,共9页
Journal of Intelligence
基金
国家自然科学基金委重大研究计划重点项目"情景-应对型非常规突发事件演化规律动态评估预测模型与方法"(编号:91224001)
西南科技大学社会科学基金资助"情景-应对型非常规突发事件的情景动态需求研究"(编号:13sx7107)
关键词
互因子α
非常规突发事件
关键在线信息
挖掘模型
interacted factor α unconventional emergencies key online information mining model