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Self-organizing dynamical networks able to learn autonomously
(Europhysics Letters, 2018-09)
We present a model for the time evolution of network architectures based on dynamical systems. We show that the evolution of the existence of a connection in a network can be described as a stochastic non-Markovian telegraphic ...
Legislative Knowledge Networks, Status Quo Complexity, and the Approval of Law Initiatives
(Wiley-Blackwell, 2016-02)
In this article, we explore the role of legislative knowledge networks (LKN) in the enactment of tax policy in Argentina. Findings show that legislative innovation follows a hierarchical (power law) structure with a few ...
Google matrix
(Scholarpedia, 2016-11)
The Google matrix G of a directed network is a stochastic square matrix with nonnegative matrix elements and the sum of elements in each column being equal to unity. This matrix describes a Markov chain (Markov, 1906-a) ...
Complex-linear invariants of biochemical networks
(Academic Press Ltd - Elsevier Science Ltd, 2012-10)
The nonlinearities found in molecular networks usually prevent mathematical analysis of network behaviour, which has largely been studied by numerical simulation. This can lead to difficult problems of parameter determination. ...
Spectral properties of Google matrix of Wikipedia and other networks
(Springer, 2013-05)
We study the properties of eigenvalues and eigenvectors of the Google matrix of the Wikipedia articles hyperlink network and other real networks. With the help of the Arnoldi method, we analyze the distribution of eigenvalues ...
World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
(Springer, 2021-05)
We use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), ...
Alternative approach to community detection in networks
(American Physical Society, 2009-12)
The problem of community detection is relevant in many disciplines of science and modularity optimization is the widely accepted method for this purpose. It has recently been shown that this approach presents a resolution ...
Learning networks in complex production systemsRedes de aprendizado em sistemas complexos de produção
(RAE - Revista de Administracao de EmpresasRAE - Revista de Administração de EmpresasRAE-Revista de Administração de Empresas, 2002)
Virtual network level of application composed IP networks connected with systems - (NETS Peer-to- Peer)
(Indian Journal of Science and Technology, 2018)
Triple point in correlated interdependent networks
(American Physical Society, 2013-11)
Many real-world networks depend on other networks, often in nontrivial ways, to maintain their functionality. These interdependent “networks of networks” are often extremely fragile. When a fraction 1 − p of nodes in one ...