Cargando…
Reliable Multi-Fractal Characterization of Weighted Complex Networks: Algorithms and Implications
Through an elegant geometrical interpretation, the multi-fractal analysis quantifies the spatial and temporal irregularities of the structural and dynamical formation of complex networks. Despite its effectiveness in unweighted networks, the multi-fractal geometry of weighted complex networks, the r...
Autores principales: | Xue, Yuankun, Bogdan, Paul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5548933/ https://www.ncbi.nlm.nih.gov/pubmed/28790321 http://dx.doi.org/10.1038/s41598-017-07209-5 |
Ejemplares similares
-
Box-covering algorithm for fractal dimension of weighted networks
por: Wei, Dai-Jun, et al.
Publicado: (2013) -
Reconstructing missing complex networks against adversarial interventions
por: Xue, Yuankun, et al.
Publicado: (2019) -
On the Fractality of Complex Networks: Covering Problem, Algorithms and Ahlfors Regularity
por: Wang, Lihong, et al.
Publicado: (2017) -
Non-Homogeneous Fractal Hierarchical Weighted Networks
por: Dong, Yujuan, et al.
Publicado: (2015) -
Algorithms, fractals, and dynamics
por: Takahashi, Y
Publicado: (1996)