Cargando…
Tail-scope: Using friends to estimate heavy tails of degree distributions in large-scale complex networks
Many complex networks in natural and social phenomena have often been characterized by heavy-tailed degree distributions. However, due to rapidly growing size of network data and concerns on privacy issues about using these data, it becomes more difficult to analyze complete data sets. Thus, it is c...
Autores principales: | Eom, Young-Ho, Jo, Hang-Hyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426729/ https://www.ncbi.nlm.nih.gov/pubmed/25959097 http://dx.doi.org/10.1038/srep09752 |
Ejemplares similares
-
An Introduction to Heavy-Tailed and Subexponential Distributions
por: Foss, Sergey, et al.
Publicado: (2011) -
An introduction to heavy-tailed and subexponential distributions
por: Foss, Sergey, et al.
Publicado: (2013) -
Heavy-tailed distributions and robustness in economics and finance
por: Ibragimov, Marat, et al.
Publicado: (2015) -
Heavy Tailed Distributions of Effect Sizes in Systematic Reviews of Complex Interventions
por: Burton, Christopher
Publicado: (2012) -
Asymptotic analysis of random walks: heavy-tailed distributions
por: Borovkov, A A, et al.
Publicado: (2008)