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Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory
刊名INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION
2019
卷号26
关键词Hazardous liquid pipelines Complex networks Visibility graph algorithm Hierarchical Bayesian model
ISSN号1874-5482
DOI10.1016/j.ijcip.2019.100308
URL标识查看原文
收录类别SCIE ; EI
WOS记录号WOS:000485796000010
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6253962
专题中国石油大学(北京)
推荐引用方式
GB/T 7714
. Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory[J]. INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION,2019,26.
APA (2019).Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory.INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION,26.
MLA "Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory".INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION 26(2019).
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