The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Ranking spreaders by decomposing complex networks
Open accessAbstract
Abstract Ranking the nodesʼ ability of spreading in networks is crucial for designing efficient strategies to hinder spreading in the case of diseases or accelerate spreading in the case of information dissemination. In the well-known k-shell method, nodes are ranked only according to the links between the remaining nodes (residual links) while the links connecting to the removed nodes (exhausted links) are entirely ignored. In this Letter, we propose a mixed degree decomposition (MDD) procedure in which both the residual degree and the exhausted degree are considered. By simulating the epidemic spreading process on real networks, we show that the MDD method can outperform the k-shell and degree methods in ranking spreaders.
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Cited by
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Identifying influential spreaders in complex networks based on gravity formula
Ma, L.-L., Ma, C., Zhang, H.-F., & Wang, B.-H. (2016) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.12.162 · Cited by 367
Metadata
- Authors
- Zeng, A., & Zhang, C.-J.
- Venue
- Physics Letters A
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 377
- Issue
- 14
- Pages
- 1031-1035
- ISSN
- 0375-9601 (ISSN-L)
- OpenAlex
- W2064643031
- Cited by
- 448
- References
- 43
- FWCI
- 17.46
- Type
- journal article
- Language
- en
- Open access
- green
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