Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Philipp Hövel"'
Information parity increases on functional brain networks under influence of a psychedelic substance
Autor:
Aline Viol, Gandhimohan M Viswanathan, Oleksandra Soldatkina, Fernanda Palhano-Fontes, Heloisa Onias, Draulio de Araujo, Philipp Hövel
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 1, p 01LT02 (2023)
The physical basis of consciousness is one of the most intriguing open questions that contemporary science aims to solve. By approaching the brain as an interactive information system, complex network theory has greatly contributed to understand brai
Externí odkaz:
https://doaj.org/article/ff02a311545d494f83d426018ef0e833
Publikováno v:
Applied Network Science, Vol 6, Iss 1, Pp 1-19 (2021)
Abstract We present a modelling framework for the spreading of epidemics on temporal networks from which both the individual-based and pair-based models can be recovered. The proposed temporal pair-based model that is systematically derived from this
Externí odkaz:
https://doaj.org/article/0aea6e4dee8b438187053f7ab751bd1e
Autor:
Rory Humphries, Mary Spillane, Kieran Mulchrone, Sebastian Wieczorek, Micheal O’Riordain, Philipp Hövel
Publikováno v:
Infectious Disease Modelling, Vol 6, Iss , Pp 420-437 (2021)
We present preliminary results on an all-Ireland network modelling approach to simulate the spreading the Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2), commonly known as the coronavirus. In the model, nodes correspond to locations or
Externí odkaz:
https://doaj.org/article/aff78d97af5c42278277727a6f76d36f
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
The impacts of technological development on social sphere lack strong empirical foundation. Here the authors presented quantitative analysis of the phenomenon of social acceleration across a range of digital datasets and found that interest appears i
Externí odkaz:
https://doaj.org/article/8b85fdee78be4af9b92296deb5203250
Autor:
Frederik Schirdewahn, Hartmut H K Lentz, Vittoria Colizza, Andreas Koher, Philipp Hövel, Beatriz Vidondo
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244999 (2021)
Surveillance of infectious diseases in livestock is traditionally carried out at the farms, which are the typical units of epidemiological investigations and interventions. In Central and Western Europe, high-quality, long-term time series of animal
Externí odkaz:
https://doaj.org/article/d01de32af6704b35bf095a769ff2b83c
Publikováno v:
Royal Society Open Science, Vol 7, Iss 1 (2020)
In ecological systems, heterogeneous interactions between pathogens take place simultaneously. This occurs, for instance, when two pathogens cooperate, while at the same time, multiple strains of these pathogens co-circulate and compete. Notable exam
Externí odkaz:
https://doaj.org/article/32b91b32f17e4ef6a6752db4415ccccd
Autor:
Jörn Gethmann, Carolina Probst, Jason Bassett, Pascal Blunk, Philipp Hövel, Franz J. Conraths
Publikováno v:
Frontiers in Veterinary Science, Vol 6 (2019)
Models can be used to plan, evaluate, and improve programs for animal disease control. In Germany, a nationwide compulsory program to eradicate Bovine viral diarrhea (BVD) is in force since January 2011. As it is associated with substantial expenditu
Externí odkaz:
https://doaj.org/article/60543d8aae854f2489352f8f2e1d3962
Autor:
Armin Pournaki, Leon Merfort, Jorge Ruiz, Nikos E. Kouvaris, Philipp Hövel, Johanne Hizanidis
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 5 (2019)
We investigate synchronization patterns and chimera-like states in the modular multilayer topology of the connectome of Caenorhabditis elegans. In the special case of a designed network with two layers, one with electrical intra-community links and o
Externí odkaz:
https://doaj.org/article/efb17d6d2458439fa9f300bca06730a1
Publikováno v:
Physical Review X, Vol 9, Iss 3, p 031017 (2019)
We present a contact-based model to study the spreading of epidemics by means of extending the dynamic message-passing approach to temporal networks. The shift in perspective from node- to edge-centric quantities enables accurate modeling of Markovia
Externí odkaz:
https://doaj.org/article/0066b52e701243be93daa9378cffc61b
Autor:
Aline Viol, Fernanda Palhano-Fontes, Heloisa Onias, Draulio B. de Araujo, Philipp Hövel, Gandhi M. Viswanathan
Publikováno v:
Entropy, Vol 21, Iss 2, p 128 (2019)
With the aim of further advancing the understanding of the human brain’s functional connectivity, we propose a network metric which we term the geodesic entropy. This metric quantifies the Shannon entropy of the distance distribution to a specific
Externí odkaz:
https://doaj.org/article/1a1e229168324fbda3a105d50fd8525d