Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bruno Abrahao"'
Publikováno v:
Socius, Vol 9 (2023)
In 2020, the COVID-19 pandemic significantly altered how people move between neighborhoods. Tracking these changes is important because a growing literature demonstrates that mobility networks influence social and environmental exposures that interac
Externí odkaz:
https://doaj.org/article/eacea8968a8749e5abd0c6ec7217235d
Publikováno v:
Sociological Science, Vol 8, Iss 9, Pp 170-190 (2021)
The COVID-19 pandemic has disrupted Americans’ daily mobility, which could contribute to greater social stratification. Relying on SafeGraph cell phone movement data from 2019 and 2020, we use two indices proposed by Phillips and colleagues (2019)
Externí odkaz:
https://doaj.org/article/a6ad7762d4f14cce950ccffc89497fba
Publikováno v:
Network Science. :1-20
The global and uneven spread of COVID-19, mirrored at the local scale, reveals stark differences along racial and ethnic lines. We respond to the pressing need to understand these divergent outcomes via neighborhood level analysis of mobility and cas
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 10:368-377
Ratings are critical to the function and success of services in the emerging sharing economy. They are a means through which users develop trust in one another and in the services themselves. Ratings are designed to give users a proxy for the expecte
Autor:
Bruno Abrahao, Paolo Parigi
The emergence of Big data and a quantified social space has prompted the birth of a new science, computational social science (CSS), whose roots are founded in research aiming to describe social processes using computational models. Big data now fuel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c9c1e5ab65a1ac54967ec4c05a17e6
https://doi.org/10.1093/oxfordhb/9780190251765.013.23
https://doi.org/10.1093/oxfordhb/9780190251765.013.23
Publikováno v:
AAAI
Given a fixed hypothesis space, defined to model class structure in a particular domain of application, unknown unknowns (u.u.s) are data examples that form classes in the feature space whose structure is not represented in a trained model. According
Autor:
Cleber Dias, Artur Alves, Bruno Abrahão, Daniel Venâncio de Oliveira Amaral, Domingos Abreu, Enrico Spaggiari, Francisco Demetrius Luciano Caldas, Henrique Sena dos Santos, Joyce Corrêa, Nei Jorge dos Santos Junior, Rodrigo Valentim Chiquetto
O livro'Depois da Avenida Central: cultura, lazer e esportes nos sertões do Brasil'traz oito estudos sobre diferentes práticas de cultura, lazer e esportes nos sertões brasileiros e a importância das articulações desses campos de estudo. Organi
Publikováno v:
CHI
The large majority of reputation systems use features such as star ratings and reviews to give users a reputation in online peer-to-peer markets. Both have been shown to be effective for signaling trustworthiness. However, the exact extent to which t
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 114(37)
To provide social exchange on a global level, sharing-economy companies leverage interpersonal trust between their members on a scale unimaginable even a few years ago. A challenge to this mission is the presence of social biases among a large hetero
Publikováno v:
KDD
The network inference problem consists of reconstructing the edge set of a network given traces representing the chronology of infection times as epidemics spread through the network. This problem is a paradigmatic representative of prediction tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb75adfdfce6486fb0e1cf4082864003
http://arxiv.org/abs/1308.2954
http://arxiv.org/abs/1308.2954