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Main Title: Dynamical phenomena in complex networks: fundamentals and applications
Author(s): Yanchuk, Serhiy
Roque, Antonio C.
Macau, Elbert E. N.
Kurths, Jürgen
Type: Article
Abstract: This special issue presents a series of 33 contributions in the area of dynamical networks and their applications. Part of the contributions is devoted to theoretical and methodological aspects of dynamical networks, such as collective dynamics of excitable systems, spreading processes, coarsening, synchronization, delayed interactions, and others. A particular focus is placed on applications to neuroscience and Earth science, especially functional climate networks. Among the highlights, various methods for dealing with noise and stochastic processes in neuroscience are presented. A method for constructing weighted networks with arbitrary topologies from a single dynamical node with delayed feedback is introduced. Also, a generalization of the concept of geodesic distances, a path-integral formulation of network-based measures is developed, which provides fundamental insights into the dynamics of disease transmission. The contributions from the Earth science application field substantiate predictive power of climate networks to study challenging Earth processes and phenomena.
Subject(s): editorial
dynamical networks
Earth science
machine learning
Issue Date: 29-Sep-2021
Date Available: 10-Dec-2021
Language Code: en
DDC Class: 530 Physik
Sponsor/Funder: DFG, 411803875, Dynamik gekoppelter Systeme mit Zeitverzögerungen und deren Anwendungen
TU Berlin, Open-Access-Mittel – 2021
Journal Title: The European Physical Journal Special Topics
Publisher: Springer Nature
Volume: 230
Issue: 14-15
Publisher DOI: 10.1140/epjs/s11734-021-00282-y
Page Start: 2711
Page End: 2716
EISSN: 1951-6401
ISSN: 1951-6355
TU Affiliation(s): Fak. 2 Mathematik und Naturwissenschaften » Inst. Mathematik » FG Numerische Mathematik
Appears in Collections:Technische Universität Berlin » Publications

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