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Network susceptibilities: Theory and applications.
Manik, Debsankha; Rohden, Martin; Ronellenfitsch, Henrik; Zhang, Xiaozhu; Hallerberg, Sarah; Witthaut, Dirk; Timme, Marc.
Afiliação
  • Manik D; Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Göttingen, Germany.
  • Rohden M; Department of Physics and Earth Sciences, Jacobs University, 28759 Bremen, Germany.
  • Ronellenfitsch H; Physics of Biological Organization, Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Göttingen, Germany.
  • Zhang X; Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
  • Hallerberg S; Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Göttingen, Germany.
  • Witthaut D; Network Dynamics, Max Planck Institute for Dynamics and Self-Organization (MPIDS), 37077 Göttingen, Germany.
  • Timme M; Fakultät Technik und Informatik, Hochschule für Angewandte Wissenschaften Hamburg, 20099 Hamburg, Germany.
Phys Rev E ; 95(1-1): 012319, 2017 Jan.
Article em En | MEDLINE | ID: mdl-28208371
We introduce the concept of network susceptibilities quantifying the response of the collective dynamics of a network to small parameter changes. We distinguish two types of susceptibilities: vertex susceptibilities and edge susceptibilities, measuring the responses due to changes in the properties of units and their interactions, respectively. We derive explicit forms of network susceptibilities for oscillator networks close to steady states and offer example applications for Kuramoto-type phase-oscillator models, power grid models, and generic flow models. Focusing on the role of the network topology implies that these ideas can be easily generalized to other types of networks, in particular those characterizing flow, transport, or spreading phenomena. The concept of network susceptibilities is broadly applicable and may straightforwardly be transferred to all settings where networks responses of the collective dynamics to topological changes are essential.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Phys Rev E Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Phys Rev E Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Alemanha