A family of algorithms for computing consensus about node state from network data.
Biological and social networks are composed of heterogeneous nodes that contribute differentially to network structure and function. A number of algorithms have been developed to measure this variation. These algorithms have proven useful for applications that require assigning scores to individual...
Guardado en:
Autores principales: | Eleanor R Brush, David C Krakauer, Jessica C Flack |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/76e9ff37d78d4200ad469b27fae6d5bd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Control of finite critical behaviour in a small-scale social system
por: Bryan C. Daniels, et al.
Publicado: (2017) -
Analysis of Data Encryption Algorithms for Telecommunication Network-Computer Network Communication Security
por: Yifeng He, et al.
Publicado: (2021) -
Memory and communication efficient algorithm for decentralized counting of nodes in networks.
por: Arindam Saha, et al.
Publicado: (2021) -
Data Integrity Time Optimization of a Blockchain IoT Smart Home Network Using Different Consensus and Hash Algorithms
por: Ammar Riadh Kairaldeen, et al.
Publicado: (2021) -
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification
por: Shuhao Shi, et al.
Publicado: (2021)