Emergent encoding of dispersal network topologies in spatial metapopulation models

G Nicoletti, P Padmanabha, S Azaele… - Proceedings of the …, 2023 - National Acad Sciences
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 …

Scalable rapid framework for evaluating network worst robustness with machine learning

W Jiang, P Li, T Fan, T Li, C Zhang, T Zhang… - Reliability Engineering & …, 2024 - Elsevier
Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks,
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 …

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 …

Structural robustness and vulnerability of networks

AC Schwarze, J Jiang, J Wray, MA Porter - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

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 …

Comprehensive analysis of network robustness evaluation based on convolutional neural networks with spatial pyramid pooling

W Jiang, T Fan, C Li, C Zhang, T Zhang, Z Luo - Chaos, Solitons & Fractals, 2024 - Elsevier
Connectivity robustness, crucial for network understanding, optimization, and repair, has
been evaluated traditionally through time-consuming and often impractical simulations …

Impact of network assortativity on epidemic and vaccination behaviour

SL Chang, M Piraveenan, M Prokopenko - Chaos, solitons & fractals, 2020 - Elsevier
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 …

Resiliency analysis for complex engineered system design

H Mehrpouyan, B Haley, A Dong, IY Tumer, C Hoyle - AI EDAM, 2015 - cambridge.org
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 …

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 …