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From time series to complex networks: Potential pitfalls and remedies

Date
Dec 4, 2012
Time
11:00 AM - 12:00 PM
Speaker
Stephan Bialonski
Affiliation
University of Bonn
Language
en
Main Topic
Physik
Other Topics
Physik
Host
Holger Kantz
Description
Concepts from network theory promise to advance our understanding of the dynamics of complex systems. From the network perspective, complex systems are considered to be composed of subsystems (nodes) which interact with each other (represented by a link) or not (no link). To infer such interaction networks from spatially extended natural systems, links are usually derived from empirical data using time series analysis techniques and nodes are identified with sensors capturing the dynamics of subsystems. We will discuss important assumptions underlying the network approach and focus on potential pitfalls and remedies.

Last modified: Dec 4, 2012, 8:53:16 AM

Location

Max-Planck-Institut für Physik komplexer Systeme (Room 1D1)Nöthnitzer Straße3801187Dresden
Phone
+ 49 (0)351 871 0
E-Mail
MPI-PKS
Homepage
http://www.mpipks-dresden.mpg.de

Organizer

Max-Planck-Institut für Physik komplexer SystemeNöthnitzer Straße3801187Dresden
Phone
+ 49 (0)351 871 0
E-Mail
MPI-PKS
Homepage
http://www.mpipks-dresden.mpg.de
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