9 citations · 10 across the 4 of their papers we have counts for
10 papers
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…
Monotone Submodular Diversity functions for Categorical Vectors with Application to Diversification of Seeds for Targeted Influence Maximization
Antonio Caliò, Andrea Tagarelli
Embedding diversity into knowledge discovery tasks is of crucial importance to enhance the meaningfulness of the mined patterns with high-impact aspects related to novelty, serendi…
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…
Deep auscultation: Predicting respiratory anomalies and diseases via recurrent neural networks
Diego Perna, Andrea Tagarelli
Respiratory diseases are among the most common causes of severe illness and death worldwide. Prevention and early diagnosis are essential to limit or even reverse the trend that ch…
Modularity in Multilayer Networks using Redundancy-based Resolution and Projection-based Inter-Layer Coupling
Alessia Amelio, Giuseppe Mangioni, Andrea Tagarelli
The generalized version of modularity for multilayer networks, a.k.a. multislice modularity, is characterized by two model parameters, namely resolution factor and inter-layer coup…
Trust-based dynamic linear threshold models for non-competitive and competitive influence propagation
Antonio Caliò, Andrea Tagarelli
What are the key-features that enable an information diffusion model to explain the inherent dynamic, and often competitive, nature of real-world propagation phenomena? In this pap…