160 citations · 615 across the 20 of their papers we have counts for
23 papers
The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks
Sebastiano A. Piccolo, Andrea Tagarelli
Identifying critical nodes in complex networks is a fundamental task in graph mining. Yet, methods addressing an all-or-nothing coverage mechanics in a bipartite dependency network…
Bringing order into the realm of Transformer-based language models for artificial intelligence and law
Candida M. Greco, Andrea Tagarelli
Transformer-based language models (TLMs) have widely been recognized to be a cutting-edge technology for the successful development of deep-learning-based solutions to problems and…
Drivers of social influence in the Twitter migration to Mastodon
Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli
The migration of Twitter users to Mastodon following Elon Musk's acquisition presents a unique opportunity to study collective behavior and gain insights into the drivers of coordi…
Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens
Lucio La Cava, Davide Costa, Andrea Tagarelli
The fervor for Non-Fungible Tokens (NFTs) attracted countless creators, leading to a Big Bang of digital assets driven by latent or explicit forms of inspiration, as in many creati…
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
Davide Costa, Lucio La Cava, Andrea Tagarelli
Non-Fungible Tokens (NFTs) represent deeds of ownership, based on blockchain technologies and smart contracts, of unique crypto assets on digital art forms (e.g., artworks or colle…
Information Consumption and Boundary Spanning in Decentralized Online Social Networks: the case of Mastodon Users
Lucio La Cava, Andrea Tagarelli
Decentralized Online Social Networks (DOSNs) represent a growing trend in the social media landscape, as opposed to the well-known centralized peers, which are often in the spotlig…
Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code
Andrea Tagarelli, Andrea Simeri
Modeling law search and retrieval as prediction problems has recently emerged as a predominant approach in law intelligence. Focusing on the law article retrieval task, we present…
Understanding the growth of the Fediverse through the lens of Mastodon
Lucio La Cava, Sergio Greco, Andrea Tagarelli
Open-source, Decentralized Online Social Networks (DOSNs) are emerging as alternatives to the popular yet centralized and profit-driven platforms like Facebook or Twitter. In DOSNs…
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…
Topology-driven Diversity for Targeted Influence Maximization with Application to User Engagement in Social Networks
Antonio Caliò, Roberto Interdonato, Chiara Pulice +1
Research on influence maximization has often to cope with marketing needs relating to the propagation of information towards specific users. However, little attention has been paid…
Consensus Community Detection in Multilayer Networks using Parameter-free Graph Pruning
Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli
The clustering ensemble paradigm has emerged as an effective tool for community detection in multilayer networks, which allows for producing consensus solutions that are designed t…
Revisiting Resolution and Inter-Layer Coupling Factors in Modularity for Multilayer Networks
Alessia Amelio, Andrea Tagarelli
Modularity for multilayer networks, also called multislice modularity, is parametric to a resolution factor and an inter-layer coupling factor. The former is useful to express laye…
Node-centric community detection in multilayer networks with layer-coverage diversification bias
Roberto Interdonato, Andrea Tagarelli, Dino Ienco +2
The problem of node-centric, or local, community detection in information networks refers to the identification of a community for a given input node, having limited information ab…
Modeling Evolutionary Dynamics of Lurking in Social Networks
Marco Alberto Javarone, Roberto Interdonato, Andrea Tagarelli
Lurking is a complex user-behavioral phenomenon that occurs in all large-scale online communities and social networks. It generally refers to the behavior characterizing users that…
Time-aware Analysis and Ranking of Lurkers in Social Networks
Andrea Tagarelli, Roberto Interdonato
Mining the silent members of an online community, also called lurkers, has been recognized as an important problem that accompanies the extensive use of online social networks (OSN…
Lurking in Social Networks: Topology-based Analysis and Ranking Methods
Andrea Tagarelli, Roberto Interdonato
The massive presence of silent members in online communities, the so-called lurkers, has long attracted the attention of researchers in social science, cognitive psychology, and co…
Online Popularity and Topical Interests through the Lens of Instagram
Emilio Ferrara, Roberto Interdonato, Andrea Tagarelli
Online socio-technical systems can be studied as proxy of the real world to investigate human behavior and social interactions at scale. Here we focus on Instagram, a media-sharing…
Uncertain Centroid based Partitional Clustering of Uncertain Data
Francesco Gullo, Andrea Tagarelli
Clustering uncertain data has emerged as a challenging task in uncertain data management and mining. Thanks to a computational complexity advantage over other clustering paradigms,…