Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Enrico Ubaldi"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The science of cities is a relatively new and interdisciplinary topic aimed at studying and characterizing the collective processes that shape the growth and dynamics of urban populations. Amongst other open problems, the forecast of mobilit
Externí odkaz:
https://doaj.org/article/9624e20bb7cc4befb2a8b04bb7ddb23e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The adverse effects of unsustainable behaviors on human society are leading to an increasingly urgent and critical need to change policies and practices worldwide. This requires that citizens become informed and engaged in participatory gove
Externí odkaz:
https://doaj.org/article/e3fa05aae7e44b8385542d0c190e176c
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-12 (2021)
Understanding how social interactions between individuals shape the large-scale properties of social networks is key to understanding our society. Here, the authors revisit the Adjacent Possible paradigm to describe the evolution of social networks a
Externí odkaz:
https://doaj.org/article/9acadfa4bd7a4933ba5f381691b37a3c
Autor:
Matthieu Nadini, Kaiyuan Sun, Enrico Ubaldi, Michele Starnini, Alessandro Rizzo, Nicola Perra
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
Abstract We investigate the effects of modular and temporal connectivity patterns on epidemic spreading. To this end, we introduce and analytically characterise a model of time-varying networks with tunable modularity. Within this framework, we study
Externí odkaz:
https://doaj.org/article/93efcf7dbfa34ed2b3c4c0d43b6f407f
Publikováno v:
Handbook on Entropy, Complexity and Spatial Dynamics ISBN: 9781839100598
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9893a4fbed44a5a0c7363b0840464bf
https://doi.org/10.4337/9781839100598.00038
https://doi.org/10.4337/9781839100598.00038
Publikováno v:
Communications Physics, Vol 4, Iss 1, Pp 1-12 (2021)
The interactions among human beings represent the backbone of our societies. How people establish new connections and allocate their social interactions among them can reveal a lot of our social organisation. We leverage on a recent mathematical form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd4b1ab0c43fd9b4bbbc362b790cb79
https://doi.org/10.1038/s42005-021-00527-1
https://doi.org/10.1038/s42005-021-00527-1
Publikováno v:
Physical Review Letters. 125
Innovation is the driving force of human progress. Recent urn models reproduce well the dynamics through which the discovery of a novelty may trigger further ones, in an expanding space of opportunities, but neglect the effects of social interactions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::190930c0daef18a8412976fa2484f2e8
https://doi.org/10.1103/physrevlett.125.248301
https://doi.org/10.1103/physrevlett.125.248301
Publikováno v:
Computational Social Sciences ISBN: 9783030234942
Social closeness and popularity are key ingredients that shape the emergence and evolution of social connections over time. Social closeness captures local reinforcement mechanisms which are behind the formation of strong ties and communities. Popula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::138d85803e1c495eacb66adcbd0cc592
https://doi.org/10.1007/978-3-030-23495-9_16
https://doi.org/10.1007/978-3-030-23495-9_16
Autor:
Michele Tizzani, Raffaella Burioni, Alessandro Vezzani, Enrico Ubaldi, Simone Lenti, Claudio Castellano
Publikováno v:
Physical Review. E
Physical review. E
98 (2018): 062315-1–062315-9. doi:10.1103/PhysRevE.98.062315
info:cnr-pdr/source/autori:Tizzani, Michele; Lenti, Simone; Ubaldi, Enrico; Vezzani, Alessandro; Castellano, Claudio; Burioni, Raffaella/titolo:Epidemic spreading and aging in temporal networks with memory/doi:10.1103%2FPhysRevE.98.062315/rivista:Physical review. E (Print)/anno:2018/pagina_da:062315-1/pagina_a:062315-9/intervallo_pagine:062315-1–062315-9/volume:98
Physical review. E
98 (2018): 062315-1–062315-9. doi:10.1103/PhysRevE.98.062315
info:cnr-pdr/source/autori:Tizzani, Michele; Lenti, Simone; Ubaldi, Enrico; Vezzani, Alessandro; Castellano, Claudio; Burioni, Raffaella/titolo:Epidemic spreading and aging in temporal networks with memory/doi:10.1103%2FPhysRevE.98.062315/rivista:Physical review. E (Print)/anno:2018/pagina_da:062315-1/pagina_a:062315-9/intervallo_pagine:062315-1–062315-9/volume:98
Time-varying network topologies can deeply influence dynamical processes mediated by them. Memory effects in the pattern of interactions among individuals are also known to affect how diffusive and spreading phenomena take place. In this paper we ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e0b6b8f1df4291c13447ab2c029d4a
http://europepmc.org/articles/PMC7217545
http://europepmc.org/articles/PMC7217545
Autor:
Matthieu Nadini, Kaiyuan Sun, Nicola Perra, Michele Starnini, Enrico Ubaldi, Alessandro Rizzo
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
We investigate the effects of modular and temporal connectivity patterns on epidemic spreading. To this end, we introduce and analytically characterise a model of time-varying networks with tunable modularity. Within this framework, we study the epid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d5aeafc5107042aefc0b36869a7451
http://arxiv.org/abs/1710.01355
http://arxiv.org/abs/1710.01355