Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Timár, Gábor"'
Percolation processes on random networks have been the subject of intense research activity over the last decades: the overall phenomenology of standard percolation on uncorrelated and unclustered topologies is well known. Still some critical propert
Externí odkaz:
http://arxiv.org/abs/2408.05125
Autor:
Timár, Gábor, Kovács, György
Decision tree and random forest classification and regression are some of the most widely used in machine learning approaches. Binary decision tree implementations commonly use conditioning in the form 'feature $\leq$ (or $<$) threshold', with the th
Externí odkaz:
http://arxiv.org/abs/2312.10708
Publikováno v:
Phys. Rev. E 109, 024306 (2024)
Triadic closure, the formation of a connection between two nodes in a network sharing a common neighbor, is considered a fundamental mechanism determining the clustered nature of many real-world topologies. In this work we define a static triadic clo
Externí odkaz:
http://arxiv.org/abs/2311.05312
Publikováno v:
Phys. Rev. E 108, 044304 (2023)
Classical percolation theory underlies many processes of information transfer along the links of a network. In these standard situations, the requirement for two nodes to be able to communicate is the presence of at least one uninterrupted path of no
Externí odkaz:
http://arxiv.org/abs/2302.06909
Autor:
Dave, Aditi K., Constantin, Daniela, Roban, Relu D., Ducea, Mihai N., Panaiotu, Cristian, Timar-Gabor, Alida
Publikováno v:
In Quaternary Geochronology June 2024 82
Autor:
Timár, Gábor
In many social networks it is a useful assumption that, regarding a given quality, an underlying hierarchy of the connected individuals exists, and that the outcome of interactions is to some extent determined by the relative positions in the hierarc
Externí odkaz:
http://arxiv.org/abs/2107.12497
Publikováno v:
In Quaternary Science Reviews 15 April 2024 330
Autor:
Lawless, John L., Timar-Gabor, A.
Publikováno v:
In Radiation Measurements January 2024 170
Publikováno v:
Phys. Rev. E 103, 022321 (2021)
Dependency links in single-layer networks offer a convenient way of modeling nonlocal percolation effects in networked systems where certain pairs of nodes are only able to function together. We study the percolation properties of the weak variant of
Externí odkaz:
http://arxiv.org/abs/2012.01260
Publikováno v:
Phys. Rev. E 102, 032304 (2020)
The structure of an evolving network contains information about its past. Extracting this information efficiently, however, is, in general, a difficult challenge. We formulate a fast and efficient method to estimate the most likely history of growing
Externí odkaz:
http://arxiv.org/abs/2003.04378