Models and Algorithms for Graph centrality grounded on Nonlinear Eigenvalues Techniques

Información del proyecto

MAGNET

Identificador del acuerdo de subvención: 744014

DOI 10.3030/744014

Proyecto cerrado

Fecha de la firma de la CE 20 Marzo 2017

Fecha de inicio 1 Julio 2017

Fecha de finalización 30 Junio 2019

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total € 183 454,80

Aportación de la UE € 183 454,80

Coordinado por

UNIVERSITY OF STRATHCLYDE
United Kingdom

Publicaciones

Book chapters (3)

Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS

Autores: Francesca Arrigo, Francesco Tudisco
Publicado en: Proceedings of the 2019 SIAM International Conference on Data Mining, 2019, Página(s) 369-377, ISBN 978-1-61197-567-3
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611975673.42

The Power Mean Laplacian for Multilayer Graph Clustering

Autores: Mercado, Pedro; Gautier, Antoine; Tudisco, Francesco; Hein, Matthias
Publicado en: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics; Proceedings of Machine Learning Research, 2018, Página(s) PMLR 84:1828-1838
Editor: PMLR

Spectral Clustering of Signed Graphs via Matrix Power Means

Autores: Pedro Mercado, Francesco Tudisco, Matthias Hein
Publicado en: Proceedings of the 36th International Conference on Machine Learning; Proceedings of Machine Learning Research, 2019
Editor: PMLR

Other (4)

The Perron-Frobenius theorem for multi-homogeneous mappings

Autores: Gautier, Antoine; Tudisco, Francesco; Hein, Matthias
Publicado en: SIAM Journal on Matrix Analysis and Applications, 2019
Editor: Society for Industrial and Applied Mathematics

A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps

Autores: Gautier, Antoine; Tudisco, Francesco; Hein, Matthias
Publicado en: SIAM Journal on Matrix Analysis and Applications, 2019
Editor: Society for Industrial and Applied Mathematics

The contractivity of cone-preserving multilinear mappings

Autores: Gautier, Antoine; Tudisco, Francesco
Publicado en: Nonlinearity, 2019
Editor: IOP Publishing Ltd & London Mathematical Society

A fast and robust kernel optimization method for core--periphery detection in directed and weighted graphs

Autores: Francesco Tudisco, Desmond J. Higham
Publicado en: Applied Network Science, 2019
Editor: Springer Open

Peer reviewed articles (5)

Community Detection in Networks via Nonlinear Modularity Eigenvectors

Autores: Francesco Tudisco, Pedro Mercado, Matthias Hein
Publicado en: SIAM Journal on Applied Mathematics, Edición 78/5, 2018, Página(s) 2393-2419, ISSN 0036-1399
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1144143

The expected adjacency and modularity matrices in the degree corrected stochastic block model

Autores: Dario Fasino, Francesco Tudisco
Publicado en: Special Matrices, Edición 6/1, 2018, Página(s) 110-121, ISSN 2300-7451
Editor: De Gruyter
DOI: 10.1515/spma-2018-0010

On the Stability of Network Indices Defined by Means of Matrix Functions

Autores: Stefano Pozza, Francesco Tudisco
Publicado en: SIAM Journal on Matrix Analysis and Applications, Edición 39/4, 2018, Página(s) 1521-1546, ISSN 0895-4798
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1133920

Node and Layer Eigenvector Centralities for Multiplex Networks

Autores: Francesco Tudisco, Francesca Arrigo, Antoine Gautier
Publicado en: SIAM Journal on Applied Mathematics, Edición 78/2, 2018, Página(s) 853-876, ISSN 0036-1399
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1137668

A Nonlinear Spectral Method for Core--Periphery Detection in Networks

Autores: Francesco Tudisco, Desmond J. Higham
Publicado en: SIAM Journal on Mathematics of Data Science, Edición 1/2, 2019, Página(s) 269-292, ISSN 2577-0187
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1183558