Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Mendes, J."'
Publikováno v:
Chaos, Solitons & Fractals 176 (2023) 114142
We delve into the statistical properties of regions within complex networks that are distant from vertices with high centralities, such as hubs or highly connected clusters. These remote regions play a pivotal role in shaping the asymptotic behaviour
Externí odkaz:
http://arxiv.org/abs/2309.00537
We study how available data on COVID-19 cases and deaths in different countries are reliable. Our analysis is based on a modification of the law of anomalous numbers, the Newcomb-Benford law, applied to the daily number of deaths and new cases in eac
Externí odkaz:
http://arxiv.org/abs/2208.11226
Publikováno v:
Phys. Rev. E 107, 014301 (2023)
The nonbacktracking matrix, and the related nonbacktracking centrality (NBC) play a crucial role in models of percolation-type processes on networks, such as non-recurrent epidemics. Here we study the localization of NBC in infinite sparse networks t
Externí odkaz:
http://arxiv.org/abs/2209.02594
Publikováno v:
Sci Rep 12, 3973 (2022)
Weak multiplex percolation generalizes percolation to multi-layer networks, represented as networks with a common set of nodes linked by multiple types (colors) of edges. We report a novel discontinuous phase transition in this problem. This anomalou
Externí odkaz:
http://arxiv.org/abs/2111.12524
Identifying communities in networks is a fundamental and challenging problem of practical importance in many fields of science. Current methods either ignore the heterogeneous distribution of nodal degrees or assume prior knowledge of the number of c
Externí odkaz:
http://arxiv.org/abs/2105.10092
Publikováno v:
Phys. Rev. E 104, 054306 (2021)
Message-passing theories have proved to be invaluable tools in studying percolation, non-recurrent epidemics and similar dynamical processes on real-world networks. At the heart of the message-passing method is the nonbacktracking matrix whose larges
Externí odkaz:
http://arxiv.org/abs/2103.04655
Publikováno v:
Phys. Rev. E 98, 032307 (2018)
The giant mutually connected component (GMCC) of an interdependent or multiplex network collapses with a discontinuous hybrid transition under random damage to the network. If the nodes to be damaged are selected in a targeted way, the collapse of th
Externí odkaz:
http://arxiv.org/abs/1802.03992
Publikováno v:
Phys. Rev. Lett. 120, 188001 (2018)
Three-dimensional shells can be synthesized from the spontaneous self-folding of two-dimensional templates of interconnected panels, called nets. However, some nets are more likely to self-fold into the desired shell under random movements. The optim
Externí odkaz:
http://arxiv.org/abs/1710.00852
Publikováno v:
Phys. Rev. Lett. 118, 078301 (2017)
We reveal a hierarchical, multilayer organization of finite components -- i.e., tendrils and tubes -- around the giant connected components in directed networks and propose efficient algorithms allowing one to uncover the entire organization of key r
Externí odkaz:
http://arxiv.org/abs/1607.00691
Publikováno v:
Phys. Rev. E 94, 062305 (2016)
We describe the phenomenon of localization in the epidemic SIS model on highly heterogeneous networks in which strongly connected nodes (hubs) play the role of centers of localization. We find that in this model the localized states below the epidemi
Externí odkaz:
http://arxiv.org/abs/1606.05624