Identifying risks in temporal supernetworks: an IO-SuperPageRank algorithm
Abstract Complex systems pose risks characterized by factors such as uncertainty, nonlinearity, and diversity, making traditional risk measurement methods based on a probabilistic framework inadequate. Supernetworks can effectively model complex systems, and temporal supernetworks can capture the dy...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2024-02-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-024-02823-x |