Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Citraro, Salvatore"'
Publikováno v:
Peer Community Journal, Vol 3, Iss , Pp - (2023)
Network structure is often considered one of the most important features of a network, and various models exist to generate graphs having one of the most studied types of structures, such as blocks/communities or spatial structures. In this article,
Externí odkaz:
https://doaj.org/article/35a419a6d70c432fa1ab51ab567a1eb2
Autor:
Rossetti, Giulio, Stella, Massimo, Cazabet, Rémy, Abramski, Katherine, Cau, Erica, Citraro, Salvatore, Failla, Andrea, Improta, Riccardo, Morini, Virginia, Pansanella, Valentina
In this paper we introduce Y, a new-generation digital twin designed to replicate an online social media platform. Digital twins are virtual replicas of physical systems that allow for advanced analyses and experimentation. In the case of social medi
Externí odkaz:
http://arxiv.org/abs/2408.00818
In recent years, the proliferation of social platforms has drastically transformed the way individuals interact, organize, and share information. In this scenario, we experience an unprecedented increase in the scale and complexity of interactions an
Externí odkaz:
http://arxiv.org/abs/2407.21753
Autor:
Pappalardo, Luca, Ferragina, Emanuele, Citraro, Salvatore, Cornacchia, Giuliano, Nanni, Mirco, Rossetti, Giulio, Gezici, Gizem, Giannotti, Fosca, Lalli, Margherita, Gambetta, Daniele, Mauro, Giovanni, Morini, Virginia, Pansanella, Valentina, Pedreschi, Dino
Recommendation systems and assistants (in short, recommenders) are ubiquitous in online platforms and influence most actions of our day-to-day lives, suggesting items or providing solutions based on users' preferences or requests. This survey analyse
Externí odkaz:
http://arxiv.org/abs/2407.01630
Autor:
Morini, Virginia, Pansanella, Valentina, Abramski, Katherine, Cau, Erica, Failla, Andrea, Citraro, Salvatore, Rossetti, Giulio
Social media platforms are online fora where users engage in discussions, share content, and build connections. This review explores the dynamics of social interactions, user-generated contents, and biases within the context of social media analysis
Externí odkaz:
http://arxiv.org/abs/2403.14298
Groups -- such as clusters of points or communities of nodes -- are fundamental when addressing various data mining tasks. In temporal data, the predominant approach for characterizing group evolution has been through the identification of ``events".
Externí odkaz:
http://arxiv.org/abs/2403.06771
Large language models are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating harmful stereotypes, which originate in our own flawed ways of thinking
Externí odkaz:
http://arxiv.org/abs/2305.18320
Semantic networks provide a useful tool to understand how related concepts are retrieved from memory. However, most current network approaches use pairwise links to represent memory recall patterns. Pairwise connections neglect higher-order associati
Externí odkaz:
http://arxiv.org/abs/2304.06375
Recent advances in network science have resulted in two distinct research directions aimed at augmenting and enhancing representations for complex networks. The first direction, that of high-order modeling, aims to focus on connectivity between sets
Externí odkaz:
http://arxiv.org/abs/2303.18226
Autor:
Stella, Massimo, Citraro, Salvatore, Rossetti, Giulio, Marinazzo, Daniele, Kenett, Yoed N., Vitevitch, Michael S.
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual associations across multiple, interactive cognitive levels can greatly
Externí odkaz:
http://arxiv.org/abs/2210.00500