Emergent encoding of dispersal network topologies in spatial metapopulation models
We address a generalization of the concept of metapopulation capacity for trees and
networks acting as the template for ecological interactions. The original measure had been …
networks acting as the template for ecological interactions. The original measure had been …
Scalable rapid framework for evaluating network worst robustness with machine learning
Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks,
with simulation attacks being the prevailing evaluation method. Simulation attacks are often …
with simulation attacks being the prevailing evaluation method. Simulation attacks are often …
[PDF][PDF] Classification of graph metrics
JM Hernández, P Van Mieghem - Delft University of Technology …, 2011 - nas.ewi.tudelft.nl
This article aims to order and classify a wide number of metrics, proposed to characterize
graphs, and the services using those graphs. The number of proposed metrics over the …
graphs, and the services using those graphs. The number of proposed metrics over the …
Motifs for processes on networks
AC Schwarze, MA Porter - SIAM Journal on Applied Dynamical Systems, 2021 - SIAM
The study of motifs can help researchers uncover links between the structure and function of
networks in biology, sociology, economics, and many other areas. Empirical studies of …
networks in biology, sociology, economics, and many other areas. Empirical studies of …
Structural robustness and vulnerability of networks
Networks are useful descriptions of the structure of many complex systems. Unsurprisingly, it
is thus important to analyze the robustness of networks in many scientific disciplines. In …
is thus important to analyze the robustness of networks in many scientific disciplines. In …
On the relationships between topological measures in real-world networks
A Jamakovic, S Uhlig - Networks and Heterogeneous Media, 2008 - aimsciences.org
Over the past several years, a number of measures have been introduced to characterize
the topology of complex networks. We perform a statistical analysis of real data sets …
the topology of complex networks. We perform a statistical analysis of real data sets …
Comprehensive analysis of network robustness evaluation based on convolutional neural networks with spatial pyramid pooling
Connectivity robustness, crucial for network understanding, optimization, and repair, has
been evaluated traditionally through time-consuming and often impractical simulations …
been evaluated traditionally through time-consuming and often impractical simulations …
Impact of network assortativity on epidemic and vaccination behaviour
The resurgence of measles is largely attributed to the decline in vaccine adoption and the
increase in mobility. Although the vaccine for measles is readily available and highly …
increase in mobility. Although the vaccine for measles is readily available and highly …
Resiliency analysis for complex engineered system design
Resilience is a key driver in the design of systems that must operate in an uncertain
operating environment, and it is a key metric to assess the capacity for systems to perform …
operating environment, and it is a key metric to assess the capacity for systems to perform …
Brain network dynamics codify heterogeneity in seizure evolution
N Rungratsameetaweemana, C Lainscsek… - Brain …, 2022 - academic.oup.com
Dynamic functional brain connectivity facilitates adaptive cognition and behaviour. Abnormal
alterations within such connectivity could result in disrupted functions observed across …
alterations within such connectivity could result in disrupted functions observed across …