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PhysPlex 2019

Singapore | 3 October 2019

 #PhysPlex2019

MULTILAYER NETWORKS

Network Science for Multidimensional Data Analysis

The coexistence of multiple types of interactions within social, technological and biological networks has moved the focus of the statistical physics of complex systems towards their description as a set of subsystems organized as layers of connectivity. This novel approach has unveiled that the multilayer nature of complex systems has strong influence in the emergence of collective states and their critical properties.
Although recently spurred by the burst of datasets in which different means of interactions within the same system are encoded, the interest in the multilayered nature of complex systems dates back several decades and span across diverse disciplines. This has enhanced the activity devoted to multilayered networks of many network science practitioners during the recent years and, nowadays, the topic is one the most important directions in the field.

A necessary step to improve our understanding of multilayer complex networks is to generalize models and tools of traditional network theory and to develop a unified framework covering all the possible types of interdependence between network layers. A natural description of multilayered systems consists in a population of nodes having different sets of neighbors in each layer (which can represent, e.g., a task, an activity, or a category). A fundamental aspect controlling the collective behavior of multilayer networks is how the interaction between the different types of connections is set. In particular, this type of (interlayer) interactions are intrinsic of multilayer networks, and it has been shown to be responsible for the emergence of novel collective phenomena due to the new structural and dynamical correlations between the components of a system that they introduce.

The scope of the satellite meeting is to review the recent advances in the field of multilayer and interconnected networks, focusing in particular on the interplay between structure and dynamics. We will pay special attention to novel applications in which the multilayer formulation is crucial. The list of topics that we aim to cover at the conference is the following:

1. Mathematical properties of multilayer and interconnected structures
2. Empirical measurements of multilayer and interconnected networks
3. Applications of such models to biological, social, economic, technological and urban systems

Previous editions



 2014 Berkeley, California
 2015 Zaragoza, Spain
 2016 Amsterdam, The Netherlands
 2017 Cancun, Mexico
 2018 Paris, France

INVITED SPEAKERS



Alex Arenas
Universitat Rovira i Virgili
Ivan Bonamassa
Bar-Ilan University
Albert Diaz-Guilera
Universitat de Barcelona
Riccardo Gallotti
Fondazione Bruno Kessler
David Soriano Panos
Universidad de Zaragoza
TBC
TBC

IMPORTANT DATES



13 May 2019 Call for abstracts
7 June 2019 Deadline for abstract submission
15 June 2019 Notification of acceptance
1 July 2019 Deadline for speakers' early-bird registration
10 July 2019 Final Program
10 August 2019 Deadline for speakers' standard registration
3 October 2019 Satellite event

REGISTRATION



Abstracts are submitted via the EasyChair website. Authors who do not have an EasyChair account should sign up for an account (for identification purposes, make sure to use the same email address as the one used for the conference registration). Submissions are required to be at most one page long including the following information: title of the talk, author(s), affiliation(s), e-mail address(es), abstract (text only).



All the participants of the Satellite meeting have to register to the main conference (note that you can still submit your abstract to the Satellite at this step).

PROGRAM



TBD

ORGANIZERS



Manlio De Domenico
Fondazione Bruno Kessler

Senior Researcher at FBK, Head of CoMuNe Lab, the FBK Research Unit for Multilayer Modeling and Analysis of Complex Systems.

 

Alex Arenas
Universitat Rovira i Virgili

Full Professor in Computer Science and Mathematics at URV, Head of Alephsys Lab, investigating structure and dynamics of networked systems.

 
        




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