Identifying node importance based on evidence theory in complex networks
From MaRDI portal
Publication:2162077
DOI10.1016/j.physa.2019.121538OpenAlexW2947501077WikidataQ127795891 ScholiaQ127795891MaRDI QIDQ2162077
Publication date: 5 August 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2019.121538
Related Items (5)
Identifying influential nodes in complex networks from global perspective ⋮ Cascading failure analysis and critical node identification in complex networks ⋮ A generalized belief interval-valued soft set with applications in decision making ⋮ CPR-TOPSIS: a novel algorithm for finding influential nodes in complex networks based on communication probability and relative entropy ⋮ Bayesian prior information fusion for power law process via evidence theory
Cites Work
- Unnamed Item
- Complex interdependent supply chain networks: cascading failure and robustness
- Robustness of assembly supply chain networks by considering risk propagation and cascading failure
- Evaluating user reputation in online rating systems via an iterative group-based ranking method
- A DEMATEL-based completion method for incomplete pairwise comparison matrix in AHP
- Identifying influential spreaders by weighted leaderrank
- Identifying influential nodes in complex networks based on AHP
- A novel visibility graph transformation of time series into weighted networks
- Evidential identification of influential nodes in network of networks
- Identifying multiple influential spreaders by a heuristic clustering algorithm
- A new status index derived from sociometric analysis
- Toward link predictability of complex networks
- Emergence of Scaling in Random Networks
- Collective dynamics of ‘small-world’ networks
- Exploring complex networks
- Upper and Lower Probabilities Induced by a Multivalued Mapping
This page was built for publication: Identifying node importance based on evidence theory in complex networks
