基于动态网络的事件风险演变研究
Exploring the Transfer of Event Risk Based on Dynamic Networks
查看参考文献34篇
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文摘
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为了从互联网媒体数据中识别风险事件,描述事件的演化结构和感知事件风险的演化规律,文章基于动态网络事件风险演变分析框架.文章构建时序动态网络表示事件的演化,使用Louvain算法识别事件,使用事件迁移概率构建事件之间的关系图.在识别事件演化结构的基础上,文章确定事件的主要演化路径,归纳出事件风险与事件生命周期之间的关系.研究结果表明,事件的演化存在着事件形成、事件合并和事件衰减等结构,事件演化结构够成了事件发展的主要路径,事件风险在事件生命周期的不同阶段存在差异. |
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其他语种文摘
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In order to identify risk events from Internet media,describe the evolution structures of events and perceive the evolution patterns of event risk,this paper proposes an analysis framework of event risk evolution based on a dynamic network.We construct a time-series network to represent the dynamic development of events,use the Louvain algorithm to identify events,and employ the event transfer metric to construct relation graph between events.Based on the identification of event evolution structure,this paper identifies the main evolutionary paths of events and summarizes the relationship between event risk and event life cycle.The research results show that there are structures of event evolution such as event birth,event merge,and so on.The main paths of event evolution consist of evolution structure.Event risks vary at different stages of the event lifecycle. |
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来源
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系统科学与数学
,2022,42(10):2590-2601 【核心库】
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DOI
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10.12341/jssms22497KSS
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关键词
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动态网络
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事件风险
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社区发现
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事件演化
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地址
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中国科学院数学与系统科学研究院, 北京, 100190
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-0577 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金
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文献收藏号
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CSCD:7356057
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34
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