The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Subnets of scale-free networks are not scale-free: Sampling properties of networks
Open accessAbstract
Most studies of networks have only looked at small subsets of the true network. Here, we discuss the sampling properties of a network's degree distribution under the most parsimonious sampling scheme. Only if the degree distributions of the network and randomly sampled subnets belong to the same family of probability distributions is it possible to extrapolate from subnet data to properties of the global network. We show that this condition is indeed satisfied for some important classes of networks, notably classical random graphs and exponential random graphs. For scale-free degree distributions, however, this is not the case. Thus, inferences about the scale-free nature of a network may have to be treated with some caution. The work presented here has important implications for the analysis of molecular networks as well as for graph theory and the theory of networks in general.
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Cites
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Menche, J., Sharma, A., Kitsak, M., Ghiassian, S. D., Vidal, M., Loscalzo, J., & Barabási, A.-L. (2015) · Science · doi:10.1126/science.1257601 · Cited by 1,546
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
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Structure and dynamics of molecular networks: A novel paradigm of drug discovery
Csermely, P., Korcsmáros, T., Kiss, H. J. M., London, G., & Nussinov, R. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.01.016 · Cited by 892
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Metadata
- Authors
- Stumpf, M. P. H., Wiuf, C., & May, R. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-03-14
- Volume
- 102
- Issue
- 12
- Pages
- 4221-4224
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2048596679
- Cited by
- 561
- References
- 16
- FWCI
- 22.98
- Type
- journal article
- Language
- en
- Open access
- green
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- Stumpf, M. P. H., Wiuf, C., & May, R. M. (2005). Subnets of scale-free networks are not scale-free: Sampling properties of networks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0501179102
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