The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Structure-based control of complex networks with nonlinear dynamics
Open accessAbstract
Significance: Many biological, technological, and social systems can be encoded as networks over which nonlinear dynamical processes such as cell signaling, information transmission, or opinion spreading take place. Despite many advances in network science, we do not know to what extent the network architecture shapes our ability to control these nonlinear systems. Here we extend a recently developed control framework that addresses this question and apply it to real networks of diverse types. Our results highlight the crucial role of a network’s feedback structure in determining robust control strategies, provide a dynamic-detail-independent benchmark for other control methods, and open up a promising research direction in the control of complex networks with nonlinear dynamics.
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Cited by
Evolution of Cellular Differentiation: From Hypotheses to Models
Márquez-Zacarías, P., Pineau, R. M., Gomez, M., Veliz-Cuba, A., Murrugarra, D., Ratcliff, W. C., & Niklas, K. J. (2021) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2020.07.013 · Cited by 46
Network control principles for identifying personalized driver genes in cancer
Guo, W.-F., Zhang, S.-W., Zeng, T., Akutsu, T., & Chen, L. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbz089 · Cited by 44
Liang, J., Li, Z.-W., Yue, C.-T., Hu, Z., Cheng, H., Liu, Z.-X., & Guo, W.-F. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac254 · Cited by 23
Metadata
- Authors
- Zañudo, J. G. T., Yang, G., & Albert, R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2017-06-27
- Volume
- 114
- Issue
- 28
- Pages
- 7234-7239
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2399184178
- Cited by
- 256
- References
- 73
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- green
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