activity
20152020
most citedNode and layer eigenvector centralities for multiplex networks

84 citations · 244 across the 10 of their papers we have counts for

collaborators

11 papers

math.NA2020★ 5 cited

Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains

Antoine Gautier, Matthias Hein, Francesco Tudisco

We analyze the global convergence of the power iterates for the computation of a general mixed-subordinate matrix norm. We prove a new global convergence theorem for a class of ent…

math.SP2018★ 11 cited

The contractivity of cone-preserving multilinear mappings

Antoine Gautier, Francesco Tudisco

With the notion of mode- Birkhoff contraction ratio, we prove a multilinear version of the Birkhoff-Hopf and the Perron-Fronenius theorems, which provide conditions on the exist…

stat.ML2018★ 18 cited

The Power Mean Laplacian for Multilayer Graph Clustering

Pedro Mercado, Antoine Gautier, Francesco Tudisco +1

Multilayer graphs encode different kind of interactions between the same set of entities. When one wants to cluster such a multilayer graph, the natural question arises how one sho…

math.SP2018★ 39 cited

The Perron-Frobenius theorem for multi-homogeneous mappings

Antoine Gautier, Francesco Tudisco, Matthias Hein

The Perron-Frobenius theory for nonnegative matrices has been generalized to order-preserving homogeneous mappings on a cone and more recently to nonnegative multilinear forms. We…

math.SP2018★ 30 cited

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

Antoine Gautier, Francesco Tudisco, Matthias Hein

We introduce the concept of shape partition of a tensor and formulate a general tensor eigenvalue problem that includes all previously studied eigenvalue problems as special cases.…

cs.SI2017★ 84 cited

Node and layer eigenvector centralities for multiplex networks

Francesco Tudisco, Francesca Arrigo, Antoine Gautier

Eigenvector-based centrality measures are among the most popular centrality measures in network science. The underlying idea is intuitive and the mathematical description is extrem…