Detecting network anomalies using Forman–Ricci curvature and a case study for human brain networks
Abstract 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...
Guardado en:
Autores principales: | Tanima Chatterjee, Réka Albert, Stuti Thapliyal, Nazanin Azarhooshang, Bhaskar DasGupta |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d059dd5758ab48b8b4455c31f954b891 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature
por: Adam Gosztolai, et al.
Publicado: (2021) -
Ollivier Ricci curvature of directed hypergraphs
por: Marzieh Eidi, et al.
Publicado: (2020) -
Variational theory of the Ricci curvature tensor dynamics
por: Claudio Cremaschini, et al.
Publicado: (2021) -
Network curvature as a hallmark of brain structural connectivity
por: Hamza Farooq, et al.
Publicado: (2019) -
Deep social force network for anomaly event detection
por: Xingming Yang, et al.
Publicado: (2021)