Brain functional network topology in autism spectrum disorder: a novel weighted hierarchical complexity metric for electroencephalogram
Recent complex network analysis reflected the brain network as a modular network with
small-world architecture in Autism Spectrum Disorder (ASD). Network hierarchy, which can …
small-world architecture in Autism Spectrum Disorder (ASD). Network hierarchy, which can …
Ordinal methods: Concepts, applications, new developments, and challenges—In memory of Karsten Keller (1961–2022)
In 2013, Karsten Keller, Jürgen Kurths, and one of us (JMA) guest edited an issue of the
European Physical Journal Special Topics, entitled Recent Progress in Symbolic Dynamics …
European Physical Journal Special Topics, entitled Recent Progress in Symbolic Dynamics …
A matheuristic approach for the minimum broadcast time problem using a biased random‐key genetic algorithm
Abstract The Minimum Broadcast Time (MBT) is a well‐known data dissemination problem
whose goal is to find a broadcast scheme that minimizes the number of steps needed to …
whose goal is to find a broadcast scheme that minimizes the number of steps needed to …
Statistical physics of network structure and information dynamics
In the last two decades, network science has proven to be an invaluable tool for the analysis
of empirical systems across a wide spectrum of disciplines, with applications to data …
of empirical systems across a wide spectrum of disciplines, with applications to data …
HUB-GA: A heuristic for universal lists broadcasting using genetic algorithm
S Gholami, HA Harutyunyan - Journal of Communications and …, 2023 - ieeexplore.ieee.org
Broadcasting is a fundamental problem in the information dissemination area. In classical
broadcasting, a message must be sent from one network member to all other members as …
broadcasting, a message must be sent from one network member to all other members as …
Characterization of human mobility based on Information Theory quantifiers
Location-aware services provide valuable information for capturing human mobility patterns.
In this context, analyzing the mobility dynamics, such as the means of transportation and …
In this context, analyzing the mobility dynamics, such as the means of transportation and …
Spacing ratio statistics of multiplex directed networks
Eigenvalues statistics of various many-body systems have been widely studied using the
nearest neighbor spacing distribution under the random matrix theory framework. Here, we …
nearest neighbor spacing distribution under the random matrix theory framework. Here, we …
New generalized 'Useful'entropies using weighted quasi-linear mean for efficient networking
A Singhal, DK Sharma - Mobile networks and applications, 2022 - Springer
Entropies have significant importance in the field of information and communication theory.
They have an essential role in measuring along with modeling the complexity and …
They have an essential role in measuring along with modeling the complexity and …
[HTML][HTML] Optimizing Contact Network Topological Parameters of Urban Populations Using the Genetic Algorithm
This paper explores the application of complex network models and genetic algorithms in
epidemiological modeling. By considering the small-world and Barabási–Albert network …
epidemiological modeling. By considering the small-world and Barabási–Albert network …
A novel approach to estimated Boulingand-Minkowski fractal dimension from complex networks
A complex network presents many topological features which characterize its behavior and
dynamics. This characterization is an essential aspect of complex networks analysis and can …
dynamics. This characterization is an essential aspect of complex networks analysis and can …