The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks

Autor: Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Enrico Mastrostefano, Fabio Saracco

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)

Abstract Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some of its features, or to generate synthetic graphs whose prope

Externí odkaz: https://doaj.org/article/84510bf57a6a456ba14944bf490f0abd

In-silico evaluation of adenoviral COVID-19 vaccination protocols: Assessment of immunological memory up to 6 months after the third dose

Autor: Paola Stolfi, Filippo Castiglione, Enrico Mastrostefano, Immacolata Di Biase, Sebastiano Di Biase, Gianna Palmieri, Antonella Prisco

Publikováno v: Frontiers in Immunology, Vol 13 (2022)

BackgroundThe immune response to adenoviral COVID-19 vaccines is affected by the interval between doses. The optimal interval is unknown.AimWe aim to explore in-silico the effect of the interval between vaccine administrations on immunogenicity and t

Externí odkaz: https://doaj.org/article/3f7cd26c6d11460ea657efd3646a163a

The Hyperbolic Geometric Block Model and Networks with Latent and Explicit Geometries

Autor: Stefano Guarino, Enrico Mastrostefano, Davide Torre

Publikováno v: Complex Networks and Their Applications XI ISBN: 9783031211300

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e9999a06f7a59c04dcad394569963f6
https://doi.org/10.1007/978-3-031-21131-7_9

Epidemics in a Synthetic Urban Population with Multiple Levels of Mixing

Autor: Alessandro Celestini, Francesca Colaiori, Stefano Guarino, Enrico Mastrostefano, Lena Rebecca Zastrow

Publikováno v: Complex Networks & Their Applications X ISBN: 9783030934125
The 10th International Conference on Complex Networks and their Applications, 30/11/2021, 02/12/2021
info:cnr-pdr/source/autori:Alessandro Celestini and Francesca Colaiori and Stefano Guarino and Enrico Mastrostefano and Lena Rebecca Zastrow/congresso_nome:The 10th International Conference on Complex Networks and their Applications/congresso_luogo:/congresso_data:30%2F11%2F2021, 02%2F12%2F2021/anno:2022/pagina_da:/pagina_a:/intervallo_pagine

Network-based epidemic models that account for heterogeneous contact patterns are extensively used to predict and control the diffusion of infectious diseases. We use census and survey data to reconstruct a geo-referenced and age-stratified synthetic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97b420054e30f3a0451eb44d760b0f56
https://doi.org/10.1007/978-3-030-93413-2_27

Data-Driven Simulation of Contagions in Public Venues

Autor: Massimo Bernaschi, Enrico Mastrostefano, Stefano Guarino, Alessandro Celestini, Marco Cianfriglia, Davide La Torre, Lena Rebecca Zastrow

Publikováno v: ANNSIM
2021 Annual Modeling and Simulation Conference (ANNSIM), pp. 289–300, 18-21/07/2021
info:cnr-pdr/source/autori:Guarino S.; Torre D.; Bernaschi M.; Celestini A.; Cianfriglia M.; Mastrostefano E.; Zastrow L.R./congresso_nome:2021 Annual Modeling and Simulation Conference (ANNSIM)/congresso_luogo:/congresso_data:18-21%2F07%2F2021/anno:2021/pagina_da:289/pagina_a:300/intervallo_pagine:289–300

The COVID-19 pandemic triggered a global research effort to define and assess timely and effective containment policies. Understanding the role that specific venues play in the dynamics of epidemic spread is critical to guide the implementation of fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dd2edb90e4bd9f965ed39f23b4fe27d
https://doi.org/10.23919/annsim52504.2021.9552154