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pro vyhledávání: '"FAILLA, Andrea"'
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:
Failla, Andrea, Rossetti, Giulio
Publikováno v:
PLoS ONE 19(11): e0310330 (2024)
Pollution of online social spaces caused by rampaging d/misinformation is a growing societal concern. However, recent decisions to reduce access to social media APIs are causing a shortage of publicly available, recent, social media data, thus hinder
Externí odkaz:
http://arxiv.org/abs/2404.18984
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
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
Akademický článek
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Autor:
Cavallaro, Andrea, Russo, Angela, Catania, Vito Emanuele, Ficili, Bartolomea, Romano, Fabrizio, Failla, Andrea Valentino, Cappellani, Alessandro, Cammisuli, Ferdinando, Viola, Maria, Madeddu, Roberto, Trichilo, Vincenzo, Libra, Massimo, Travali, Salvatore
Publikováno v:
In International Journal of Surgery October 2014 12 Supplement 2:S120-S124
Publikováno v:
In Engineering Structures 2005 27(8):1175-1184
Akademický článek
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