Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Arash Badie Modiri"'
Autor:
Amir H Shirazi, Arash Badie Modiri, Sara Heydari, Jennifer L Rohn, Gholam R Jafari, Ali R Mani
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0167546 (2016)
Classification of medical sciences into its sub-branches is crucial for optimum administration of healthcare and specialty training. Due to the rapid and continuous evolution of medical sciences, development of unbiased tools for monitoring the evolu
Externí odkaz:
https://doaj.org/article/b84c992f95864b64b75ea6e373fd6381
Autor:
Arash Badie-Modiri, Mikko Kivelä
Publikováno v:
SoftwareX, Vol 21, Iss , Pp 101301- (2023)
In the last decade, temporal networks and static and temporal hypergraphs have enabled modelling connectivity and spreading processes in a wide array of real-world complex systems such as economic transactions, information spreading, brain activity a
Externí odkaz:
https://doaj.org/article/45c318200f044d67a6d7406da499a283
Publikováno v:
Physical Review Research, Vol 4, Iss 2, p L022047 (2022)
Connectivity and reachability on temporal networks, which can describe the spreading of a disease, the dissemination of information, or the accessibility of a public transport system over time, have been among the main contemporary areas of study in
Externí odkaz:
https://doaj.org/article/6905617369a34d649cf838f238aa41a2
Publikováno v:
Physical review. E. 105(5-1)
The event graph representation of temporal networks suggests that the connectivity of temporal structures can be mapped to a directed percolation problem. However, similarly to percolation theory on static networks, this mapping is valid under the ap
Publikováno v:
Physical review. E. 105(4-1)
Contact tracing via digital tracking applications installed on mobile phones is an important tool for controlling epidemic spreading. Its effectivity can be quantified by modifying the standard methodology for analyzing percolation and connectivity o
Publikováno v:
Physical review. E. 101(5-1)
Time-limited states characterize many dynamical processes on networks: disease-infected individuals recover after some time, people forget news spreading on social networks, or passengers may not wait forever for a connection. These dynamics can be d