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Scale-free networks are rare. Öffentlichkeit Deposited
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Real-world networks are often claimed to be scale free, meaning that the fraction of nodes with degree k follows a power law k-α, a pattern with broad implications for the structure and dynamics of complex systems. However, the universality of scale-free networks remains controversial. Here, we organize different definitions of scale-free networks and construct a severe test of their empirical prevalence using state-of-the-art statistical tools applied to nearly 1000 social, biological, technological, transportation, and information networks. Across these networks, we find robust evidence that strongly scale-free structure is empirically rare, while for most networks, log-normal distributions fit the data as well or better than power laws. Furthermore, social networks are at best weakly scale free, while a handful of technological and biological networks appear strongly scale free. These findings highlight the structural diversity of real-world networks and the need for new theoretical explanations of these non-scale-free patterns.
- Creator
- Date Issued
- 2019-03-04
- Academic Affiliation
- Journal Title
- Journal Issue/Number
- 1
- Journal Volume
- 10
- File Extent
- 1017-1017
- Subject
- Zuletzt geändert
- 2020-02-17
- Identifier
- PubMed ID: 30833554
- Resource Type
- Urheberrechts-Erklärung
- DOI
- ISSN
- 2041-1723
- Language
- License
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Miniaturansicht | Titel | Datum Hochgeladen | Sichtbarkeit | Aktionen |
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scaleFreeNetworksAreRare.pdf | 2019-12-09 | Öffentlichkeit | Herunterladen |