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
Universitat Rovira i Virgili
Universitat de Barcelona
Fondazione Bruno Kessler
|David Soriano Panos
Universidad de Zaragoza
|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
|10 August 2019
|Deadline for speakers' standard registration
|3 October 2019
Opening and Chair
Nonlinear dynamics in multiplex networks
I will present an overview of different types of dynamics in multiplex networks. Starting with diffusion and the importance of the spectral information I will enter into details of more complex dynamics, as synchronization, consensus, or pattern formation.
Towards a physical theory of interdependent interactions
Despite the great efforts made so far in harnessing the effects that interdependent interactions have on the robustness of interacting complex systems, understanding their physical origin is a fundamental challenge which has remained out of reach in existing theories. In fact, as much as the adoption of percolation-based concepts has come in hand in the mathematical modeling of interdependent couplings, so it has dramatically veiled their physical content. This has not only delayed the development of unified approaches to critical phenomena of multilayer networks, but also the conceptualization of physically realizable experiments where to test the large volume of predictions collected so far. We present here a preliminary study in response to this longstanding conundrum, which we address by exploring the paradigmatic case of two interdependent Glauber processes for the magnetization dynamics in spin models. We find that interdependence acts equivalently to a thermal interaction among spin systems, whose presence naturally lead to spinodal-dominated first-order phase transitions. Remarkably, by extending our approach to Potts spins, we recover the main critical features unveiled in interdependent percolation. We believe our findings not only represent an important step forward in the theoretical understanding of the universal features of coupled collective phenomena in multilayer networks, but also disclose a route towards the physical realization of interdependent systems as thermally coupled materials.
Lost in transportation: Information measures and cognitive limits in multilayer navigation
In this talk, I discuss evidence suggesting the existence of a limit associated with cognitive overload caused by a large amount of information that needs to be processed for navigating a transit map. We estimated this limit for multimodal transportation systems, where we observe that large cities transit networks already exceed human cognitive limits and, consequently, the traditional view of navigation in cities has to be revised substantially.
Including mobility and socio-economic diversity in epidemic modeling via multiplex metapopulations
In this talk, we will explain a framework based on multiplex metapopulations which allows us to incorporate the population distribution and the mobility patterns associated with different types of individuals, each one represented in a layer, in epidemic modeling. We will illustrate the utility of our model by studying the spread of SIS diseases over the city of Medellin in Colombia, whose population is divided into six socio-economic strata. By using multiplex metapopulations, we will reveal some interesting phenomena which do not emerge when dealing with monoplex metapopulations.
Urban Segregation on Multiplex Networks: a random walk approach
Multilayer dynamic network models with persistent links and node-specific latent variables
Citations driven by social connections? A multi-layer representation of co-authorship networks
Manlio De Domenico
Location: North Spine Plaza, 76 Nanyang Drive, Singapore 637331