Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Berthouze, Luc"'
Autor:
Caprioglio, Enrico, Berthouze, Luc
Publikováno v:
Front. Netw. Physiol. 4:1436046 (2024)
Oscillatory complex networks in the metastable regime have been used to study the emergence of integrated and segregated activity in the brain, which are hypothesised to be fundamental for cognition. Yet, the parameters and the underlying mechanisms
Externí odkaz:
http://arxiv.org/abs/2405.14542
Epidemic propagation on networks represents an important departure from traditional massaction models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field m
Externí odkaz:
http://arxiv.org/abs/2302.02470
We predict the future course of ongoing susceptible-infected-susceptible (SIS) epidemics on regular, Erd\H{o}s-R\'{e}nyi and Barab\'asi-Albert networks. It is known that the contact network influences the spread of an epidemic within a population. Th
Externí odkaz:
http://arxiv.org/abs/2111.05369
The contact structure of a population plays an important role in transmission of infection. Many ``structured models'' capture aspects of the contact structure through an underlying network or a mixing matrix. An important observation in such models,
Externí odkaz:
http://arxiv.org/abs/2007.06975
Stochastic epidemic models on networks are inherently high-dimensional and the resulting exact models are intractable numerically even for modest network sizes. Mean-field models provide an alternative but can only capture average quantities, thus of
Externí odkaz:
http://arxiv.org/abs/2007.01043
The robust detection of statistical dependencies between the components of a complex system is a key step in gaining a network-based understanding of the system. Because of their simplicity and low computation cost, pairwise statistics are commonly u
Externí odkaz:
http://arxiv.org/abs/1904.04813
Methods that generate networks sharing a given degree distribution and global clustering can induce changes in structural properties other than that controlled for. Diversity in structural properties, in turn, can affect the outcomes of dynamical pro
Externí odkaz:
http://arxiv.org/abs/1809.06293
The epidemic threshold is probably the most studied quantity in the modelling of epidemics on networks. For a large class of networks and dynamics the epidemic threshold is well studied and understood. However, it is less so for clustered networks wh
Externí odkaz:
http://arxiv.org/abs/1806.06135
Autor:
Messager, Antoine, Parisis, George, Kiss, Istvan Z, Harper, Robert, Tee, Phil, Berthouze, Luc
We consider the problem of inferring the functional connectivity of a large-scale computer network from sparse time series of events emitted by its nodes. We do so under the following three domain-specific constraints: (a) non-stationarity of the fun
Externí odkaz:
http://arxiv.org/abs/1802.04036
The duration, type and structure of connections between individuals in real-world populations play a crucial role in how diseases invade and spread. Here, we incorporate the aforementioned heterogeneities into a model by considering a dual-layer stat
Externí odkaz:
http://arxiv.org/abs/1801.01337