Chair News

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little figures carefully handling a covid test bar
Photo: Marco Federmann / Pixabay.

Scientists at the Institute of Science and Technology Austria (IST Austria) and at the Center for Advancing Electronics Dresden (cfaed / Technische Universität Dresden) show that little differences in behavior decide between success and complete failure of epidemic control. In their study, the scientists were able to show that limits in testing and contact tracing are responsible for this sudden change in the epidemic outcome. Testing followed up by contact tracing is extremely efficient in slowing down epidemics, however once their limit is exceeded the epidemic accelerates resulting in a faster than exponential spread. The study was published in the journal Nature Communications.

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illustration of different transportation models
Illustration: Christiane Kunath

An interdisciplinary research team from TU Dresden at the Chair of Network Dynamics headed by Prof. Marc Timme (Center for Advancing Electronics Dresden – cfaed & Institute of Theoretical Physics) has studied people's motivation to use "shared mobility" offers. In ride-sharing, trips of two or more customers with similar origins and destinations are combined into a single cab ride. The concept can make a significant contribution to sustainable urban mobility. However, its acceptance depends on human needs and behavior. For example, while shared rides typically offer a financial advantage, passengers might suffer drawbacks in terms of comfort and trip duration. These factors give rise to different adoption behaviors that explain usage patterns observed in 360 million real-world ride requests from New York City and Chicago in 2019. The study has now been published in the journal Nature Communications.

Press Release 2020 Sep 24

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yellow cabs, street scene
Photo: pixabay.com

[Deutsche Version unter "read more"]

Apps such as Uber are an important mobility feature in many big cities. Driving others from A to B in their own car has become a job for many people. However, many drivers complain that their income is too low. In May 2019, the US television station ABC reported how Uber drivers at Washington airport artificially inflated the price of the service by all going offline at the same time. Within a few minutes, the price of the service had risen by 13 dollars, which almost doubled the amount.  
How exactly does this strategy work and when is it used? This is what Dr. Malte Schröder and Professor Marc Timme from the Chair for Network Dynamics at the Center for Advancing Electronics Dresden (cfaed) and the Institute for Theoretical Physics at TU Dresden have been investigating alongside PhD students David-Maximilian Storch and Philip Marszal.

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Flyer SAN dynamics of complex networks

 

The next Scientific Area Network (SAN) by DRESDEN-concept will take place on 20 August at 5 p.m. in the Deutsches Hygiene-Museum Dresden. The SAN features an interdisciplinary perspective on the "Dynamics of Complex Networks" and looks at natural, technical as well as social networks from an scientific perspective. 18 presentations of 5 minutes each will present networks in a wide variety of scientific fields and thus encourage interdisciplinary exchange. In particular, scientific insights into multi-layered networks ("systems of systems") in the research fields of biology and neurology, social sciences, and the humanities as well as supply infrastructure (energy, water and transport) will be enabled. Prof. Marc Timme and Dr. Malte Schröder from our Chair will give an introduction to this complex topic.

Press Release - cfaed, 31 July, 2019

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Generality of response patterns.

Scientists from the Center for Advancing Electronics Dresden (cfaed) at TU Dresden, together with partners from other German universities and research institutions, have investigated how highly complex dynamical systems react to external influences using the example of power grids. The results contribute to an understanding of the processes that take place, for example, during the feeding of weather-dependent and thus strongly fluctuating renewable energies into the power grids. However, they can be transferred to various types of dynamical networks. The study has been published in the journal "Science Advances" on 31 July, 2019.

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We are pleased to invite you to join the guest lecture given by Dr. Alexander Schlemmer! Dr. Schlemmer is affiliated with the Biomedical Physics Group at Max Planck Institute for Dynamics and Self-Organization, Göttingen and joins the cfaed Seminar Series by invitation from our chair. His lecture is titled "There is more in your data! - How semantic data management can boost scientific efficiency" and everybody is welcome!

07.02.2019 (Thursday), 16:40 - 18:10, Bürogebäude Zellescher Weg BZW/A120, Zellescher Weg 17, 01169 Dresden

See abstract here.

Model-free inference of direct network interactions from nonlinear collective dynamics

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Photo: cfaed

The paper "Model-free inference of direct network interactions from nonlinear collective dynamics" by Prof. Marc Timme, cfaed Strategic Professor and Chair for Network Dynamics, co-authored by researchers from Max Planck Institute for Dynamics and Self-Organization (MPIDS), has been recently published in the renowned Complexity Collection of Nature Communications. In this paper, researchers demonstrated a model-independent framework for inferring direct interactions solely from recording the nonlinear collective dynamics generated. 

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[Deutsche Version unter "read more"]

A reliable functioning of technical infrastructure networks is essential for our modern, high-tech society. Cascading failures, i.e. chain reactions of failures of different infrastructures, are the cause of many failures of entire networks, e.g. large parts of the European power grids. Although cascading failures are usually influenced by network-wide nonlinear dynamics between the individual failures, their modelling has so far concentrated primarily on the analysis of sequences of failure events of individual infrastructures - however, the dynamics between these events have not been taken into account.

In an article now published by Nature Communications, an analysis scheme is presented which takes into account the event-based character of the chain reaction as well as the specific network dynamic influences.

PRESS RELEASE 08 January 2018

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Published by MAX PLANCK INSTITUTE FOR DYNAMICS UND SELF-ORGANIZATION
Co-published: TECHNISCHE UNIVERSITÄT DRESDEN / CFAED – CENTER FOR ADVANCING ELECTRONICS DRESDEN

Our daily life depends more than ever on a reliable electrical supply. However, the ongoing energy transition poses new challenges to the electrical power grid and its operators. For the integration of additional renewable generation into the power grid, it is often proposed to split the grid into smaller autonomous cells, also called “microgrids”. Thereby, a village with a combined heat and power unit and added wind and photovoltaic generators could operate mostly independently without drawing energy from the grid. But how does splitting a large grid into smaller cells and adding more renewable generators affect the reliability of the electrical supply? Benjamin Schäfer and Marc Timme, scientists at the Max Planck Institute for Dynamics and Self-Organization in Göttingen and the Center for Advancing Electronics Dresden (cfaed) at Technische Universität Dresden, Germany, analysed power grid frequency fluctuation in different regions in the world together with colleagues from the Forschungszentrum Jülich (Germany), Queen Mary University of London (Great Britain) and the University of Tokyo (Japan). They formulated mathematical models to predict the effect of power fluctuations on the grid frequency. The results are now published in the article „Non-Gaussian Power Grid Frequency Fluctuations Characterized by Lévy-stable Laws and Superstatistics“, at Nature Energy.

New Strategic Chair for Network Dynamics at TU Dresden´s cfaed / Inaugural Lecture on 24th of October

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[Deutsche Version unter "read more..."]

The TU Dresden (TUD) has extended the Center of Excellence Center for Advancing Electronics Dresden (cfaed) by a fifth Strategic Professorship. Prof. Marc Timme from the Max Planck Institute for Dynamics and Self-Organization in Göttingen moved to the Elbe river in July 2017 and will continue his internationally successful research in the field of network dynamics at the TUD under the umbrella of cfaed. With the beginning of the current winter semester, his first courses start in Dresden.