Scale-free networks are rare.
Broido, Anna D; Clauset, Aaron · 2019 · CU Scholar (University of Colorado Boulder)
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
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
Abstract by Broido, Anna D; Clauset, Aaron, CU Scholar (University of Colorado Boulder) (2019) — licensed CC BY 4.0.
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