[HTML][HTML] Networks behind the morphology and structural design of living systems
Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …
us to apply methods of network science to study the morphology and structural design of …
Network science and tourism–the state of the art
R Baggio - Tourism Review, 2017 - emerald.com
Purpose In recent years, network science has become a dynamic and promising discipline.
This study aims to provide a brief summary of the subject and the application to the tourism …
This study aims to provide a brief summary of the subject and the application to the tourism …
On the linearizing effect of spatial averaging in large-scale populations of homogeneous nonlinear systems
Understanding the dynamics resulting from large-scale populations of systems poses one of
the greatest challenges ahead of modern science. While it is often expected that the …
the greatest challenges ahead of modern science. While it is often expected that the …
Secrets of soccer: Neural network flows and game performance
M Marchiori, M de Vecchi - Computers & Electrical Engineering, 2020 - Elsevier
Soccer is the most popular sport in the world, with currently over three billion fans. There are
various reasons for this success, but a unique feature of soccer stands out: every match has …
various reasons for this success, but a unique feature of soccer stands out: every match has …
Network science and e-tourism
Almost 20 years ago, the publication of three papers (Barabási and Albert 1999; Faloutsos et
al. 1999; Watts and Strogatz 1998) started an incredible strand of interdisciplinary research …
al. 1999; Watts and Strogatz 1998) started an incredible strand of interdisciplinary research …
Network motifs: A key variable in the equation of dynamic flow between macro and micro layers in Complex Networks
Complex Networks theory represents a powerful tool to model real-world systems as graphs
with non-trivial topological features. Static by their definition, complex networks are limited to …
with non-trivial topological features. Static by their definition, complex networks are limited to …
River cruise holiday packages: A network analysis combined with a geographic information system framework
A Guedes, J Rebelo - Tourism Management Perspectives, 2021 - Elsevier
This research analyzes the physical network of river cruise holiday packages as a relational
system. A comprehensive network analysis is undertaken based on data from the Douro …
system. A comprehensive network analysis is undertaken based on data from the Douro …
GraMMy: Graph representation learning based on micro–macro analysis
Abstract Graph Neural Networks (GNNs) are robust variants of deep network models,
typically designed to learn from graph-structured data. Despite the recent advancement of …
typically designed to learn from graph-structured data. Despite the recent advancement of …
An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks
Complex networks are data structures with great importance in representing real world
interactions which surrounds us. While their structures might look chaotic at a first glance …
interactions which surrounds us. While their structures might look chaotic at a first glance …
Analysis and Visualization of Social Networks
The huge development of social networks opens the need for their analysis. The
visualization of social networks is an important and powerful tool for such kind of analysis …
visualization of social networks is an important and powerful tool for such kind of analysis …