Network dynamics - stability, resilience and signals propagation

25/04/2021 - 16:00 - 14:30Add To Calendar 2021-04-25 14:30:00 2021-04-25 16:00:00 Network dynamics - stability, resilience and signals propagation Prof. Baruch Barzel will be giving a talk on Sunday, April 25th at 14:30 in Technion (via zoom - see below). Zoom link:  https://technion.zoom.us/j/95607405617 A major achievement in the study of complex networks is the observation that diverse systems, from sub-cellular biology to social networks, exhibit universal topological characteristics, such as the small world or the scale-free phenomena. Yet this universality does not naturally translate to the dynamics of these systems, hindering our progress towards a theoretical framework of network dynamics. The source of this theoretical gap is the fact that the behavior of a complex system cannot be uniquely predicted from its topology, but rather depends also on the dynamic mechanisms of interaction between the nodes, hence systems with similar structure may exhibit profoundly different dynamic behavior. To bridge this gap, we derive the patterns of network information flow, indeed, the essence of a network's behavior, by offering systematic translations of topological characteristics into the actual spatio-temporal propagation of perturbative signals. Relevant papers: Spatiotemporal propagation of signals in complex networks. Nature Physics 15, 403 (2019) Patterns of information flow in complex networks. Nature Communications 8, 2181 (2017) Universal resilience patterns in complex networks. Nature 530, 307 (2016) Universality in network dynamics. Nature Physics 9, 673 (2013)   Hope to see you all there, המחלקה למתמטיקה mathoffice@math.biu.ac.il Asia/Jerusalem public
מארגנים

Prof. Baruch Barzel will be giving a talk on SundayApril 25th at 14:30 in Technion (via zoom - see below).

Zoom link:  https://technion.zoom.us/j/95607405617

A major achievement in the study of complex networks is the observation that diverse systems, from sub-cellular biology to social networks, exhibit universal topological characteristics, such as the small world or the scale-free phenomena. Yet this universality does not naturally translate to the dynamics of these systems, hindering our progress towards a theoretical framework of network dynamics. The source of this theoretical gap is the fact that the behavior of a complex system cannot be uniquely predicted from its topology, but rather depends also on the dynamic mechanisms of interaction between the nodes, hence systems with similar structure may exhibit profoundly different dynamic behavior. To bridge this gap, we derive the patterns of network information flow, indeed, the essence of a network's behavior, by offering systematic translations of topological characteristics into the actual spatio-temporal propagation of perturbative signals.

Relevant papers:

  • Spatiotemporal propagation of signals in complex networks. Nature Physics 15, 403 (2019)
  • Patterns of information flow in complex networks. Nature Communication8, 2181 (2017)
  • Universal resilience patterns in complex networks. Nature 530, 307 (2016)
  • Universality in network dynamics. Nature Physics 9, 673 (2013)

 

Hope to see you all there,

Last Updated Date : 25/04/2021