The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Vital nodes identification in complex networks
Open accessAbstract
Real networks exhibit heterogeneous nature with nodes playing far different roles in structure and function. To identify vital nodes is thus very significant, allowing us to control the outbreak of epidemics, to conduct advertisements for e-commercial products, to predict popular scientific publications, and so on. The vital nodes identification attracts increasing attentions from both computer science and physical societies, with algorithms ranging from simply counting the immediate neighbors to complicated machine learning and message passing approaches. In this review, we clarify the concepts and metrics, classify the problems and methods, as well as review the important progresses and describe the state of the art. Furthermore, we provide extensive empirical analyses to compare well-known methods on disparate real networks, and highlight the future directions. In despite of the emphasis on physics-rooted approaches, the unification of the language and comparison with cross-domain methods would trigger interdisciplinary solutions in the near future.
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Cited by
The Study of Psychopathology from the Network Analysis Perspective: A Systematic Review
Contreras, A., Nieto, I., Valiente, C., Espinosa, R., & Vazquez, C. (2019) · Psychotherapy and Psychosomatics · doi:10.1159/000497425 · Cited by 448
Artificial intelligence in cancer target identification and drug discovery
You, Y., Lai, X., Pan, Y., Zheng, H., Vera, J., Liu, S., Deng, S., & Zhang, L. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00994-0 · Cited by 435
Percolation on complex networks: Theory and application
Li, M., Liu, R.-R., Lü, L., Hu, M.-B., Xu, S., & Zhang, Y.-C. (2021) · Physics Reports · doi:10.1016/j.physrep.2020.12.003 · Cited by 365
Self-citationInformation cascades in complex networks
Jalili, M., & Perc, M. (2017) · Journal of Complex Networks · doi:10.1093/comnet/cnx019 · Cited by 248
Does mindfulness change the mind? A novel psychonectome perspective based on Network Analysis
Roca, P., Diez, G. G., Castellanos, N., & Vazquez, C. (2019) · PLOS ONE · doi:10.1371/journal.pone.0219793 · Cited by 37
Metadata
- Authors
- Lü, L., Chen, D., Ren, X.-L., Zhang, Q.-M., Zhang, Y.-C., & Zhou, T.
- Venue
- Physics Reports
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 650
- Pages
- 1-63
- ISSN
- 0370-1573 (ISSN-L)
- OpenAlex
- W2470757901
- Cited by
- 1,183
- References
- 27
- FWCI
- 63.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lü, L., Chen, D., Ren, X.-L., Zhang, Q.-M., Zhang, Y.-C., & Zhou, T. (2016). Vital nodes identification in complex networks. Physics Reports. https://doi.org/10.1016/j.physrep.2016.06.007
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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