Chair News

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portrait photo of Dr. Malte Schröder
Dr. Malte Schröder

Ab Mai stellen sich TUD-Forscher:innen im Rahmen der Veranstaltungsreihe "Triff die Koryphäe unter der Konifere" wieder den Fragen der Öffentlichkeit im Botanischen Garten. Bei der Auftaktveranstaltung zur 2. Staffel am 15. Mai 2022 erläutert Dr. Malte Schröder vom cfaed, Lehrstuhl für Netzwerkdynamik, wie die Theoretische Physik helfen kann, neue Formen der Mobilität zu erfassen, zu verstehen und zu verbessern. Die Veranstaltung beginnt um 15:30 Uhr. Die Veranstaltungsreihe wird durch die EXU-Maßnahme "TUD im Dialog" gefördert.

Detaillierte Information hier

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Ride sharing buses (middle) combine direct trips of multiple users and drive shorter in total than the sum of the individual car routes (top). When users walk to a nearby stop, buses drive even shorter routes while maintaining the user travel times (bottom). Author: Charlotte Lotze.

Sustainable mobility is an important research field of the Chair of Network Dynamics (headed by Prof. Marc Timme) at the Center for Advancing Electronics Dresden (cfaed) at TU Dresden. Here, the chair’s researchers put a strong focus on “ride sharing”, i.e. the bundling of simultaneous trips of several people in one vehicle. A recently published study on this topic addresses the question how a dynamic combination of nearby stops enables more efficient ride sharing services.

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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.

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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.