Publications related to Scale-free network

Optimized Quantization in Distributed Graph Signal Filtering

Pascal Frossard, Isabela Cunha Maia Nobre

Distributed graph signal processing algorithms require the network nodes to communicate by exchanging messages in order to achieve a common objective. These messages have a finite precision in realistic networks, which may necessitate to implement message ...

2019

Optimized Quantization in Distributed Graph Signal Processing

Pascal Frossard, Isabela Cunha Maia Nobre

Distributed graph signal processing methods require that the graph nodes communicate by exchanging messages. These messages have a finite precision in a realistic network, which may necessitate to implement quantization. Quantization, in turn, generates er ...

IEEE2019

A Dynamic Embedding Model of the Media Landscape

Karl Aberer, Jérémie Rappaz

Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicity of these outlets should ensure a variety of viewpoints, recent reports sug ...

ASSOC COMPUTING MACHINERY2019

Form finding in elastic gridshells

Pedro Miguel Nunes Pereira de Almeida Reis, Changyeob Baek

Elastic gridshells comprise an initially planar network of elastic rods that are actuated into a shell-like structure by loading their extremities. The resulting actuated form derives from the elastic buckling of the rods subjected to inextensibility. We s ...

2018

Spread of proliferative kidney disease in fish along stream networks: A spatial metacommunity framework

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Luca Carraro, Marino Gatto

Proliferative kidney disease (PKD) is a high-mortality pathology that critically affects freshwater salmonid populations. Infection is caused by the endoparasitic myxozoan Tetracapsuloides bryosalmonae, which exploits freshwater bryozoans as primary hosts. ...

2018

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Meritxell Bach Cuadra, Constantin Tuleasca, Thomas William Arthur Bolton, Elena Najdenovska

OBJECTIVE Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard stereotactic deep brain stimulation or radiofrequency thalamotomy or, alternatively, minimally invasive techniques, including stereotactic rad ...

AMER ASSOC NEUROLOGICAL SURGEONS2018

On the Properties of the Compound Nodal Admittance Matrix of Polyphase Power Systems

Mario Paolone, Andreas Martin Kettner

Most techniques for power system analysis model the grid by exact electrical circuits. For instance, in power flow study, state estimation, and voltage stability assessment, the use of admittance parameters (i.e., the nodal admittance matrix) and hybrid pa ...

2018

An Exact Convex Formulation of the Optimal Power Flow in Radial Distribution Networks Including Transverse Components

Jean-Yves Le Boudec, Mario Paolone, Mostafa Nick

The recent literature discusses the use of the relaxed Second Order Cone Programming (SOCP) for formulating Optimal Power Flow problems (OPF) for radial power grids. However, if the shunt parameters of the lines that compose the power grid are considered, ...

2018

A metacommunity model for the spread of proliferative kidney disease in stream networks

Andrea Rinaldo, Enrico Bertuzzo, Lorenzo Mari, Luca Carraro, Marino Gatto

Proliferative kidney disease (PKD) affects freshwater salmonid populations in temperate European and North-American rivers. It is caused by the endoparasitic myxozoan Tetracapsuloides bryosalmonae, which exploits freshwater bryozoans as intermediate hosts. ...

2017

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Scale-free network

Optimized Quantization in Distributed Graph Signal Filtering

Optimized Quantization in Distributed Graph Signal Processing

A Dynamic Embedding Model of the Media Landscape

Form finding in elastic gridshells

Spread of proliferative kidney disease in fish along stream networks: A spatial metacommunity framework

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

On the Properties of the Compound Nodal Admittance Matrix of Polyphase Power Systems

An Exact Convex Formulation of the Optimal Power Flow in Radial Distribution Networks Including Transverse Components

A metacommunity model for the spread of proliferative kidney disease in stream networks

Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks

Graph Chatbot

Chat with Graph Search

Spread of proliferative kidney disease in fish along stream networks: A spatial metacommunity framework

On the Properties of the Compound Nodal Admittance Matrix of Polyphase Power Systems

An Exact Convex Formulation of the Optimal Power Flow in Radial Distribution Networks Including Transverse Components

Form finding in elastic gridshells

Optimized Quantization in Distributed Graph Signal Filtering

A Dynamic Embedding Model of the Media Landscape

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

Optimized Quantization in Distributed Graph Signal Processing

Hyperbolic Embedding for Efficient Computation of Path Centralities and Adaptive Routing in Large-Scale Complex Commodity Networks

A metacommunity model for the spread of proliferative kidney disease in stream networks