The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Classes of complex networks defined by role-to-role connectivity profiles
Open accessAbstract
In physical, biological, technological and social systems, interactions between units give rise to intricate networks. These-typically non-trivial-structures, in turn, critically affect the dynamics and properties of the system. The focus of most current research on complex networks is, still, on global network properties. A caveat of this approach is that the relevance of global properties hinges on the premise that networks are homogeneous, whereas most real-world networks have a markedly modular structure. Here, we report that networks with different functions, including the Internet, metabolic, air transportation and protein interaction networks, have distinct patterns of connections among nodes with different roles, and that, as a consequence, complex networks can be classified into two distinct functional classes on the basis of their link type frequency. Importantly, we demonstrate that these structural features cannot be captured by means of often studied global properties.
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Cites
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Self-citationClasses of small-world networks
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Self-citationDetecting rich-club ordering in complex networks
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On the relationship between emotion and cognition
Pessoa, L. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2317 · Cited by 2,350
Precision Functional Mapping of Individual Human Brains
Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., Ortega, M., Hoyt-Drazen, C., Gratton, C., Sun, H., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.011 · Cited by 1,335
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Metadata
- Authors
- Guimerà, R., Sales-Pardo, M., & Amaral, L. A. N.
- Venue
- Nature Physics
- Published
- 2006-12-24
- Volume
- 3
- Issue
- 1
- Pages
- 63-69
- ISSN
- 1745-2473 (ISSN-L)
- 1745-2481
- OpenAlex
- W2132957436
- Cited by
- 425
- References
- 7
- FWCI
- 13.79
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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