A Nodes' Evolution Diversity Inspired Method to Detect Anomalies in Dynamic Social Networks
In: IEEE Transactions on Knowledge and Data Engineering, Jg. 32 (2020-10-01), Heft 10, S. 1868-1880
Online
academicJournal
Zugriff:
Titel: |
A Nodes' Evolution Diversity Inspired Method to Detect Anomalies in Dynamic Social Networks
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Autor/in / Beteiligte Person: | Wang, H. ; Qiao, C. |
Link: | |
Zeitschrift: | IEEE Transactions on Knowledge and Data Engineering, Jg. 32 (2020-10-01), Heft 10, S. 1868-1880 |
Veröffentlichung: | 2020 |
Medientyp: | academicJournal |
ISSN: | 1041-4347 (print) ; 1558-2191 (print) ; 2326-3865 (print) |
DOI: | 10.1109/TKDE.2019.2912574 |
Sonstiges: |
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