Paper
4 August 2022 Critical node identification for emergencies
Yazhou Liu, Guihai Li, Zhiwei Zhang, Jian Zhao, Zheyu Wang, Chen Yang
Author Affiliations +
Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 1230612 (2022) https://doi.org/10.1117/12.2641332
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China
Abstract
The rapid identification of key nodes in large-scale social networks is important for the guidance and control of public opinion. The model proposes a key node identification method that considers user attributes, behavioural attributes, historical text attributes, user expertise and rationality values. Compared with methods that only consider user attributes, behavioral attributes and historical text attributes, this method can identify key nodes more quickly. Limitations: This method cannot identify key nodes in the network in real time.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yazhou Liu, Guihai Li, Zhiwei Zhang, Jian Zhao, Zheyu Wang, and Chen Yang "Critical node identification for emergencies", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 1230612 (4 August 2022); https://doi.org/10.1117/12.2641332
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KEYWORDS
Data modeling

Internet

Analytical research

Feature extraction

Network security

Social networks

Statistical analysis

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