Dependence of network metrics on model aggregation and throughflow calculations: Demonstration using the Sylt–Rømø Bight Ecosystem

2013 ◽  
Vol 252 ◽  
pp. 214-219 ◽  
Author(s):  
Brian D. Fath ◽  
Ursula M. Scharler ◽  
Dan Baird
Keyword(s):  
Model Aggregation ◽  
Network Metrics

scholarly journals Indirect Estimation of Link Delays by Directly Observing a Triplet of Network Metrics

2014 ◽  
Vol 32 ◽  
pp. 1030-1036
Author(s):  
Muhammad H. Raza ◽  
Ali Nafarieh ◽  
Bill Robertson
Keyword(s):  
Indirect Estimation ◽  
Network Metrics

Layered Model Aggregation based Federated Learning in Mobile Edge Networks

2021 ◽  
Author(s):  
Qiming Cao ◽  
Xing Zhang ◽  
Yushun Zhang ◽  
Yongdong Zhu
Keyword(s):  
Layered Model ◽  
Model Aggregation ◽  
Edge Networks

scholarly journals BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks

2011 ◽  
Vol 2011 ◽  
pp. 1-12 ◽  
Author(s):  
Eleni G. Christodoulou ◽  
Vangelis Sakkalis ◽  
Vassilis Tsiaras ◽  
Ioannis G. Tollis
Keyword(s):  
Open Access ◽  
Brain Network ◽  
Global Network ◽  
Control Group ◽  
Network Modelling ◽  
Network Information ◽  
Network Measures ◽  
Graph Metrics ◽  
Network Metrics ◽  
The Brain

This paper presents BrainNetVis, a tool which serves brain network modelling and visualization, by providing both quantitative and qualitative network measures of brain interconnectivity. It emphasizes the needs that led to the creation of this tool by presenting similar works in the field and by describing how our tool contributes to the existing scenery. It also describes the methods used for the calculation of the graph metrics (global network metrics and vertex metrics), which carry the brain network information. To make the methods clear and understandable, we use an exemplar dataset throughout the paper, on which the calculations and the visualizations are performed. This dataset consists of an alcoholic and a control group of subjects.

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