Cargando…
Detecting network anomalies using Forman–Ricci curvature and a case study for human brain networks
We analyze networks of functional correlations between brain regions to identify changes in their structure caused by Attention Deficit Hyperactivity Disorder (adhd). We express the task for finding changes as a network anomaly detection problem on temporal networks. We propose the use of a curvatur...
Autores principales: | Chatterjee, Tanima, Albert, Réka, Thapliyal, Stuti, Azarhooshang, Nazanin, DasGupta, Bhaskar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8046810/ https://www.ncbi.nlm.nih.gov/pubmed/33854129 http://dx.doi.org/10.1038/s41598-021-87587-z |
Ejemplares similares
-
Measuring robustness of brain networks in autism spectrum disorder with Ricci curvature
por: Simhal, Anish K., et al.
Publicado: (2020) -
Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks
por: Sia, Jayson, et al.
Publicado: (2019) -
Comparative analysis of two discretizations of Ricci curvature for complex networks
por: Samal, Areejit, et al.
Publicado: (2018) -
Ricci Curvature-Based Semi-Supervised Learning on an Attributed Network
por: Wu, Wei, et al.
Publicado: (2021) -
Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature
por: Gosztolai, Adam, et al.
Publicado: (2021)