activity
20092023
most citedSpreading processes in Multilayer Networks

254 citations · 394 across the 16 of their papers we have counts for

collaborators

20 papers

cs.DB2023

Towards efficient multilayer network data management

Georgios Panayiotou, Matteo Magnani, Bruno Pinaud

Real-world multilayer networks can be very large and there can be multiple choices regarding what should be modeled as a layer. Therefore, there is a need for their effective stora…

q-bio.NC2022

Uncertainty in fMRI Functional Networks of Autism Brain Imaging Data

Amin Kaveh, Matteo Magnani, Christian Rohner

In this paper we review the preprocessing pipeline through which fMRI data is transformed into a network. We discuss three parameters that mostly affect our understanding of the ex…

cs.SI2020

Multilayer network simplification: approaches, models and methods

Roberto Interdonato, Matteo Magnani, Diego Perna +2

Multilayer networks have been widely used to represent and analyze systems of interconnected entities where both the entities and their connections can be of different types. Howev…

cs.SI2019

Community Detection in Multiplex Networks

Matteo Magnani, Obaida Hanteer, Roberto Interdonato +2

A multiplex network models different modes of interaction among same-type entities. In this article we provide a taxonomy of community detection algorithms in multiplex networks. W…

cs.SI2018

Foundations of Temporal Text Networks

Davide Vega, Matteo Magnani

Three fundamental elements to understand human information networks are the individuals (actors) in the network, the information they exchange, that is often observable online as t…

cs.SI2017★ 83 cited

Quantifying layer similarity in multiplex networks: a systematic study

Piotr Bródka, Anna Chmiel, Matteo Magnani +1

Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between la…