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20122026
most citedOnline Popularity and Topical Interests through the Lens of Instagram

160 citations · 615 across the 20 of their papers we have counts for

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15 papers · 1 filter

cs.SI2023★ 5 cited

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…

cs.SI2022★ 46 cited

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…

cs.SI2021★ 81 cited

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…

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

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…

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.SI2019★ 9 cited

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…

cs.SI2018

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…

cs.SI2018★ 33 cited

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…

cs.SI2017

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…

cs.SI2017

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…

cs.SI2016

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…

cs.SI2015★ 43 cited

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…

cs.SI2014★ 45 cited

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…

cs.SI2014★ 160 cited

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…