2017 Impact factor 1.947
Special Topics

EPJ ST Special Issue: Diffusion dynamics and information spreading in multilayer networks

The real-world scenario of an emergent collective behavior, either in a biological, neuronal, ecological or a social network, raises the challenge of quantifying the impact of diffusion on the rich set of mutual interactions. As well, it is also vital to quantify the dynamics of information spreading that manifests either as an abrupt, explosive phenomenon or as a cascading phenomenon across different degrees of freedom. In this context, multiplex networks arise as the most apt theoretical paradigm, highlighting an additional dimension of complexity in essential relations and thus providing a more inherent description for such systems.

Layered neuronal spiking and bursting, different stages of a dynamical response to an infection, epidemic spreading, competitive dynamics across different layers of a social networks, to name just some examples, are all affected by interplay of multiple tiles of composition, which embodies structural and functional correlations between different spatiotemporal regimes on a multilayer network.

Recent research has shown that layer-driven dynamics is the key in a wide variety of different dynamical processes, in turn giving rise to a novel set of critical phenomena, ranging from super-diffusive patterns to a first order percolation transition and multipartite synchronization manifolds involving multi-chimera states. Along these lines, the coevolution of the dynamics across different layers, bridging the gap between epidemic and awareness spreading, has also been shown to give rise to novel types of reaction-diffusion processes.

Taken together, there is thus a clear need to advance on these fascinating subjects with a dedicated special issue, not least also in connection to applications in real-world networks and systems interactions.

This special thus issue intends to collect original research articles on theory and experiment, as well as reviews on the recent trends concerning the diffusion dynamics associated with multilayer networks.

Topics include, but are not limited to:

  • *Diffusion patterns in multilayer networks
  • *Synchronization in multilayer networks
  • *Multistability in multilayer networks
  • *Selfsimilarity in multilayer networks
  • *Chimera states in multilayer networks
  • *Spontaneous symmetry breaking in multilayer networks
  • *Epidemics transmission dynamics in multilayer networks
  • *Awareness spreading in multilayer networks
  • *Cooperation in multilayer networks
  • *Reaction-diffusion in multilayer networks
  • *Quantum multilayer networks

Call for papers:

The Guest Editors invite authors to submit their original research on diffusion dynamics and information spreading in multilayer networks, including the detailed review articles on this Topical Issue. Articles should be submitted to the Editorial Office of EPJ: ST by selecting the "Diffusion dynamics and information spreading in multilayer networks" as a special issue at: https://articlestatus.edpsciences.org/is/epjst/home.php

Authors submitting to the issue should follow submission guidelines here. Manuscripts should be prepared using the latex template of EPJ ST, which can be downloaded here.

Submission deadline: 27th January 2019.

Guest Editors:

Vesna Berec (University of Belgrade) and Matjaz Perc (University of Maribor).

For any queries, please contact Vesna Berec This email address is being protected from spambots. You need JavaScript enabled to view it. .

Managing Editors
Anne Ruimy (EDP Sciences) and Sabine Lehr (Springer-Verlag)
Dear Sabine, Sandrine, and Nicolas, your professional and efficient management supported our editing tasks enormously and made the whole process smooth and pleasant. The web-based SAGA system was very helpful for handling the workflow. Thank you all for your high commitment!

Jan Freund, ICBM, University of Oldenburg, Germany

ISSN: 1951-6355 (Print Edition)
ISSN: 1951-6401 (Electronic Edition)

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