摘要
Complex systems have features such as numerous nodes and edges, complicated and hierarchical relations and evolving with time. During their running time, complex systems are influenced by the internal and external factors which can lead to abnormal states. Finding out the outliers can effectively supervise the whole system. Here, we study a real-world complex dynamic complex system, observe the abnormal pattern based on entropy, and find out nodes which will lead to the system collapse by GROD algorithm.
源语言 | 英语 |
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主期刊名 | Proceedings of 2015 International Conference on Electrical and Information Technologies for Rail Transportation - Transportation |
编辑 | Yong Qin, Limin Jia, Lijun Diao, Jianghua Feng, Min An |
出版商 | Springer Verlag |
页 | 677-684 |
页数 | 8 |
ISBN(印刷版) | 9783662493687 |
DOI | |
出版状态 | 已出版 - 2016 |
活动 | 2nd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2015 - Zhuzhou, 中国 期限: 28 8月 2015 → 30 8月 2015 |
出版系列
姓名 | Lecture Notes in Electrical Engineering |
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卷 | 378 |
ISSN(印刷版) | 1876-1100 |
ISSN(电子版) | 1876-1119 |
会议
会议 | 2nd International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2015 |
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国家/地区 | 中国 |
市 | Zhuzhou |
时期 | 28/08/15 → 30/08/15 |
指纹
探究 'Outlier detection for time-evolving complex networks' 的科研主题。它们共同构成独一无二的指纹。引用此
Zhang, H., Hu, C., & Wang, X. (2016). Outlier detection for time-evolving complex networks. 在 Y. Qin, L. Jia, L. Diao, J. Feng, & M. An (编辑), Proceedings of 2015 International Conference on Electrical and Information Technologies for Rail Transportation - Transportation (页码 677-684). (Lecture Notes in Electrical Engineering; 卷 378). Springer Verlag. https://doi.org/10.1007/978-3-662-49370-0_70