Wednesday, December 1, 2021

Examining the dynamics of complex networks

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Credit: Pixabay/CC0 Public Domain

A particular concern of EPJST, edited by Dr. Jurgen Kurths, Senior Advisor at the Research Department for Complexity Science, Potsdam Institute for Climate Impact Research (PIK), and Professor and Senior Advisor at Humboldt University, Berlin, Ahmedabad, brings collectively a set of papers focusing enhancing our understanding of the collective dynamics of complex techniques. The particular concern pays specific consideration to the purposes of this understanding in the numerous fields of neuroscience, local weather modeling, and Earth science.

“During the last decade, networks with complex topology have become a very powerful approach for understanding large complex systems in various fields of applications ranging from neuroscience, via engineering to sociology, economy, and Earth sciences,” Kurths says in an introduction of the particular concern. “Complex real-world systems are modeled as networks of interacting nodes, combining different application fields with approaches from dynamical system theory, statistical physics, time series analysis, and graph theory.”

Complex real-world techniques reminiscent of these thought of by the authors of the 33 research that comprise the particular concern are made up of networks of interacting nodes. The editor goes on to elucidate that the papers in the particular concern thought of techniques that may characteristic anyplace from a whole bunch to billions of such nodes. The techniques may also be organized in sparse conglomerations or extra organized hierarchical constructions.

The papers in the particular concern fall into three primary fields; idea and technique — protecting a broad vary of subjects like dynamics of excitable techniques, cluster dynamics, and the interaction of noise and suggestions — the purposes to neuroscience, and Earth science purposes.

The particular concern took place in consequence of analysis carried out in the framework of the German-Brazilian International Research Training Group (IRTG) funded by the German Science Foundation DFG and the Sao Paulo Research Foundation FAPESP.

This collaboration which launched in 2011 consists of researchers from an eclectic vary of fields from physics, arithmetic, biology, to climatology and metrology. These professionals are drawn from institutes together with, however not restricted to the University of Sao Paulo, National Institute for Space Research, Humboldt University at Berlin, Potsdam Institute for Climate Impact Research.

“We hope that this volume will contribute to discussions on advances in the of dynamical networks and stimulate further studies,” concludes Kurths.


New modelling methodology for large-scale dynamic networks


More data:
Serhiy Yanchuk et al, Dynamical phenomena in complex networks: fundamentals and purposes, The European Physical Journal Special Topics (2021). DOI: 10.1140/epjs/s11734-021-00282-y

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