Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Domenico Di Gangi"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract A common issue when analyzing real-world complex systems is that the interactions between their elements often change over time. Here we propose a new modeling approach for time-varying interactions generalising the well-known Kinetic Ising
Externí odkaz:
https://doaj.org/article/45a9abbd02e44940992f68ea1b4a171f
Autor:
Andrea Berti, Gianluca Carloni, Sara Colantonio, M. Antonietta Pascali, Paolo Manghi, Pasquale Pagano, Rossana Buongiorno, Eva Pachetti, Claudia Caudai, Domenico Di Gangi, Emanuele Carlini, Zeno Falaschi, Esther Ciarrocchi, Emanuele Neri, Elena Bertelli, Vittorio Miele, Roberto Carpi, Giulio Bagnacci, Nunzia Di Meglio, M. Antonietta Mazzei, Andrea Barucci
Publikováno v:
BHI '22-IEEE-EMBS International Conference on Biomedical and Health Informatics, Ioannina, Greece, 27-30/09/2022
Researchers nowadays may take advantage of broad collections of medical data to develop personalized medicine solutions. Imaging bio-banks play a fundamental role, in this regard, by serving as organized repositories of medical images associated with
While the vast majority of the literature on models for temporal networks focuses on binary graphs, often one can associate a weight to each link. In such cases the data are better described by a weighted, or valued, network. An important well known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de84e19e97dd758b92af2c76499645d2
http://arxiv.org/abs/2202.09854
http://arxiv.org/abs/2202.09854
Publikováno v:
SSRN Electronic Journal.
A common issue when analyzing real-world complex systems is that the interactions between the elements often change over time: this makes it difficult to find optimal models that describe this evolution and that can be estimated from data, particular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a91b84a94fcae09202809d9dba71031
Motivated by the evidence that real-world networks evolve in time and may exhibit non-stationary features, we propose an extension of the Exponential Random Graph Models (ERGMs) accommodating the time variation of network parameters. Within the ERGM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::697302e89934d966e65410af3eeed3d7
Autor:
Amanah Ramadiah, Domenico Di Gangi, D. Ruggiero Lo Sardo, Valentina Macchiati, Tuan Pham Minh, Francesco Pinotti, Mateusz Wilinski, Paolo Barucca, Giulio Cimini
A growing body of studies on systemic risk in financial markets has emphasized the key importance of taking into consideration the complex interconnections among financial institutions. Much effort has been put in modeling the contagion dynamics of f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69ca062166e7158f23a8fcf2d1e8f594
http://arxiv.org/abs/1805.04325
http://arxiv.org/abs/1805.04325
Publikováno v:
Journal of Economic Dynamics and Control
Assessing systemic risk in financial markets is of great importance but it often requires data that are unavailable or available at a very low frequency. For this reason, systemic risk assessment with partial information is potentially very useful fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aa27e23e5125baa6fee58df47130946
https://www.sciencedirect.com/science/article/pii/S0165188918301787
https://www.sciencedirect.com/science/article/pii/S0165188918301787