Current status and perspective of vulnerability assessment of cyber-physical power systems based on complex network theory

T Zang, Z Wang, X Wei, Y Zhou, J Wu, B Zhou - Energies, 2023 - mdpi.com
The increasing factors of uncertainty faced by the system are due to the deep coupling of the
electric power cyber network and the physical network. Consequently, ensuring the efficient …

A complex network framework for the efficiency and resilience trade-off in global food trade

DB Karakoc, M Konar - Environmental Research Letters, 2021 - iopscience.iop.org
Global food trade is crucial for food security and availability. Trade is typically optimized to
promote efficiency, whereas resilience is increasingly being recognized as another …

[PDF][PDF] Assortativity Analysis of Real-World Network Graphs based on Centrality Metrics.

N Meghanathan - Comput. Inf. Sci., 2016 - pdfs.semanticscholar.org
Assortativity index (A. Index) of real-world network graphs has been traditionally computed
based on the degree centrality metric and the networks were classified as assortative …

Neighborhood-based bridge node centrality tuple for complex network analysis

N Meghanathan - Applied Network Science, 2021 - Springer
We define a bridge node to be a node whose neighbor nodes are sparsely connected to
each other and are likely to be part of different components if the node is removed from the …

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 …

Data-driven brain network models differentiate variability across language tasks

K Bansal, JD Medaglia, DS Bassett… - PLoS computational …, 2018 - journals.plos.org
The relationship between brain structure and function has been probed using a variety of
approaches, but how the underlying structural connectivity of the human brain drives …

A computationally lightweight and localized centrality metric in lieu of betweenness centrality for complex network analysis

N Meghanathan - Vietnam Journal of Computer Science, 2017 - Springer
The betweenness centrality (BWC) of a vertex is a measure of the fraction of shortest paths
between any two vertices going through the vertex and is one of the widely used shortest …

A multilevel backbone extraction framework

S Hmaida, H Cherifi, M El Hassouni - Applied Network Science, 2024 - Springer
As networks grow in size and complexity, backbones become an essential network
representation. Indeed, they provide a simplified yet informative overview of the underlying …

Global excitability and network structure in the human brain

Y Kora, S Salhi, J Davidsen, C Simon - Physical Review E, 2023 - APS
We utilize a model of Wilson-Cowan oscillators to investigate structure-function relationships
in the human brain by means of simulations of the spontaneous dynamics of brain networks …

A greedy algorithm for neighborhood overlap-based community detection

N Meghanathan - Algorithms, 2016 - mdpi.com
The neighborhood overlap (NOVER) of an edge uv is defined as the ratio of the number of
nodes who are neighbors for both u and v to that of the number of nodes who are neighbors …