Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Luca Pappalardo"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Since the development of the original Schelling model of urban segregation, several enhancements have been proposed, but none have considered the impact of mobility constraints on model dynamics. Recent studies have shown that human mobility
Externí odkaz:
https://doaj.org/article/4bd26117bcdc42238bf2f0cd17eee40a
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Measurement(s) human mobility inter- and intra-administrative country areas Technology Type(s) mobile phone records Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment city Sample Characteristic - Location Chile
Externí odkaz:
https://doaj.org/article/9faa8188ddc64a40a825ff92439ae800
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-16 (2022)
Abstract The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the interest of scientists from several disciplines. In this article,
Externí odkaz:
https://doaj.org/article/ec63a1dbf723459aa6a98a72bf48113c
Publikováno v:
SUMO Conference Proceedings, Vol 4 (2023)
Routing algorithms typically suggest the fastest path or slight variation to reach a user's desired destination. Although this suggestion at the individual level is undoubtedly advantageous for the user, from a collective point of view, the aggregati
Externí odkaz:
https://doaj.org/article/ffae60df64e64a96afb5c73c751f17b2
scikit-mobility: A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data
Publikováno v:
Journal of Statistical Software, Vol 103, Pp 1-38 (2022)
The last decade has witnessed the emergence of massive mobility datasets, such as tracks generated by GPS devices, call detail records, and geo-tagged posts from social media platforms. These datasets have fostered a vast scientific production on var
Externí odkaz:
https://doaj.org/article/cde8ae0756cb4107b29e5efd1224bfd5
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-30 (2022)
Abstract Peace is a principal dimension of well-being and is the way out of inequity and violence. Thus, its measurement has drawn the attention of researchers, policymakers, and peacekeepers. During the last years, novel digital data streams have dr
Externí odkaz:
https://doaj.org/article/ac795a0804b2434c8bdcdff62292dac8
Autor:
Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo, Riccardo Gallotti, Filippo Privitera, Bruno Lepri, Marco De Nadai
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this work, we study how individuals adapted their daily movements and person-to-person
Externí odkaz:
https://doaj.org/article/51841fbdafe249deb76629a2027821c3
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment. Here, the authors use deep neural networks to discover non-linear rela
Externí odkaz:
https://doaj.org/article/059d39bef08745cab26256153f00f062
Publikováno v:
EPJ Data Science, Vol 10, Iss 1, Pp 1-19 (2021)
Abstract Inferring mobile phone users’ home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging mobile phone data to study social and urban phenomena. Despite
Externí odkaz:
https://doaj.org/article/cb264bc51e674c5093dee061545af425
Autor:
Alessio Rossi, Enrico Perri, Luca Pappalardo, Paolo Cintia, Giampietro Alberti, Darcy Norman, F. Marcello Iaia
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Training for success has increasingly become a balance between maintaining high performance standards and avoiding the negative consequences of accumulated fatigue. The aim of this study is to develop a big data analytics framework to predict players
Externí odkaz:
https://doaj.org/article/2560e7ecceda4c16a803968fb7f39769