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pro vyhledávání: '"Cerqueti, Roy"'
In this paper, we present an extension of the spatially-clustered linear regression models, namely, the spatially-clustered spatial autoregression (SCSAR) model, to deal with spatial heterogeneity issues in clustering procedures. In particular, we ex
Externí odkaz:
http://arxiv.org/abs/2407.15874
Autor:
Sangiorgio, Emanuele, Di Marco, Niccolò, Etta, Gabriele, Cinelli, Matteo, Cerqueti, Roy, Quattrociocchi, Walter
This study examines Facebook and YouTube content from over a thousand news outlets in four European languages from 2018 to 2023, using a Bayesian structural time-series model to evaluate the impact of viral posts. Our results show that most viral eve
Externí odkaz:
http://arxiv.org/abs/2407.13549
In this paper, we propose how to use objective arguments grounded in statistical mechanics concepts in order to obtain a single number, obtained after aggregation, which would allow to rank "agents", "opinions", ..., all defined in a very broad sense
Externí odkaz:
http://arxiv.org/abs/2405.00041
Initially conceived for entertainment, social media platforms have profoundly transformed the dissemination of information and consequently reshaped the dynamics of agenda-setting. In this scenario, understanding the factors that capture audience att
Externí odkaz:
http://arxiv.org/abs/2401.17890
Publikováno v:
European Journal of Operational Research 2024
This paper proposes a new class of assortativity measures for weighted and directed networks. We extend the classical Newman's degree-degree assortativity by considering nodes' attributes different from the degree. Moreover, we propose connections am
Externí odkaz:
http://arxiv.org/abs/2304.01737
Autor:
Cerqueti, Roy1,2 roy.cerqueti@uniroma1.it, Iovanella, Antonio3, Mattera, Raffaele1, Storani, Saverio2,4
Publikováno v:
Scientific Reports. 8/23/2024, Vol. 14 Issue 1, p1-13. 13p.
This paper faces a central theme in applied statistics and information science, which is the assessment of the stochastic structure of rank-size laws in text analysis. We consider the words in a corpus by ranking them on the basis of their frequencie
Externí odkaz:
http://arxiv.org/abs/2210.06963
Autor:
Cerqueti, Roy, Lupi, Claudio
Benford's law is often used as a support to critical decisions related to data quality or the presence of data manipulations or even fraud. However, many authors argue that conventional statistical tests will reject the null of data "Benford-ness" if
Externí odkaz:
http://arxiv.org/abs/2202.05237
Publikováno v:
In Socio-Economic Planning Sciences October 2024 95
Publikováno v:
In Information Sciences January 2025 689