Journal ID (nlm-ta): Front Big Data
Journal ID (iso-abbrev): Front Big Data
Journal ID (publisher-id): Front. Big Data
Title:
Frontiers in Big Data
Publisher:
Frontiers Media S.A.
ISSN
(Electronic):
2624-909X
Publication date
(Electronic):
25
May
2023
Publication date Collection: 2023
Volume: 6
Electronic Location Identifier: 1124526
Affiliations
[1]
1Mobile and Social Computing Lab, Bruno Kessler Foundation , Trento, Italy
[2]
2Faculty of Computer Science, Free University of Bolzano , Bolzano, Italy
[3]
3Department of Sociology and Social Research, University of Trento , Trento, Italy
Author notes
Edited by: Huan Liu, Arizona State University, United States
Reviewed by: Mohsen Bahrami, Massachusetts Institute of Technology, United States;
Maria Jofre, Catholic University of the Sacred Heart, Milan, Italy; Federico Battiston,
Central European University, Hungary; Adriana Manna, Central European University Wien,
Austria, in collaboration with reviewer FB
Article
DOI: 10.3389/fdata.2023.1124526
PMC ID: 10248183
SO-VID: b0146f05-19cc-40ec-9fee-5db5ffa2c70c
Copyright © Copyright © 2023 Luca, Campedelli, Centellegher, Tizzoni and Lepri.
License:
This is an open-access article distributed under the terms of the Creative Commons
Attribution License (CC BY). The use, distribution or reproduction in other forums
is permitted, provided the original author(s) and the copyright owner(s) are credited
and that the original publication in this journal is cited, in accordance with accepted
academic practice. No use, distribution or reproduction is permitted which does not
comply with these terms.
Page count
Figures: 1,
Tables: 0,
Equations: 0,
References: 272,
Pages: 20,
Words: 20412
BL and SC are supported by the PNRR ICSC National Research Centre for High Performance
Computing, Big Data and Quantum Computing (CN00000013), under the NRRP MUR program
funded by the NextGenerationEU.