Spring 2020 Course on Complex Networks - ETH Z · Students will understand how networks influence...
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Spring 2020 Course on Complex Networks A detailed syllabus is available at http://www.sg.ethz.ch/teaching/cn Prof. Dr. Dr. Frank Schweitzer Dr. Giona Casiraghi When? Tuesday, 9-10 (U), 10-12 (V) Where? HG E 1.2 (V), HG E 21 (U) ETH Zurich Chair of Systems Design Prof. Dr. Dr. Frank Schweitzer WEV G 211 Weinbergstrasse 56/58 CH-8092 Zürich Phone: +41 44 632 83 51 Fax: +41 44 632 18 80 www.sg.ethz.ch Networks matter! This holds for social, economic and biological systems, for technical infrastructures like the Internet as well as for information systems like the World Wide Web. How can we understand the evolution of such networked systems and what are the local processes that shape their global features? How does their topology influence dynamical processes? And how can we characterize the role and the importance of a specific node? In this course, students get a broad overview of the methods used in the quantitative study of complex networks. The course will show how networks can be represented mathematically and how properties of their link structures as well as the importance of individual nodes can be quantified. Students will understand how networks influence dynamical processes and how complex link topologies emerge from simple network formation processes. We will further explore how data mining and machine learning techniques can be applied to gain insights based on complex relational data from social, economic and technical systems. Chair of Systems Design
Transcript of Spring 2020 Course on Complex Networks - ETH Z · Students will understand how networks influence...
Spring 2020 Course on
Complex Networks
A detailed syllabus is available athttp://www.sg.ethz.ch/teaching/cn
Prof. Dr. Dr. Frank SchweitzerDr. Giona CasiraghiWhen? Tuesday, 9-10 (U), 10-12 (V)Where? HG E 1.2 (V), HG E 21 (U)
ETH ZurichChair of Systems DesignProf. Dr. Dr. Frank SchweitzerWEV G 211Weinbergstrasse 56/58CH-8092 Zürich
Phone: +41 44 632 83 51Fax: +41 44 632 18 80www.sg.ethz.ch
Networks matter! This holds for social, economic and biological systems, for technical infrastructures like the Internet as well as for information systems like the World Wide Web.
How can we understand the evolution of such networked systems and what are the local processes that shape their global features? How does their topology influence dynamical processes? And how can we characterize the role and the importance of a specific node?
In this course, students get a broad overview of the methods used in the quantitative study of complex networks.
The course will show how networks can be represented mathematically and how properties of their link structures as well as the importance of individual nodes can be quantified.
Students will understand how networks influence dynamical processes and how complex link topologies emerge from simple network formation processes. We will further explore how data mining and machine learning techniques can be applied to gain insights based on complex relational data from social, economic and technical systems.
Chair of Systems Design
![Control of Chimera States in Multilayer Networks · lattices of oscillators [27–31], networks with adaptive topologies [32, 33], fractal complex topologies [34–38], oscillators](https://static.fdocuments.in/doc/165x107/5d1b26bf88c993656e8d4636/control-of-chimera-states-in-multilayer-networks-lattices-of-oscillators-2731.jpg)
