Structure and dynamics of core/periphery networks
Recent studies uncovered important core/periphery network structures characterizing
complex sets of cooperative and competitive interactions between network nodes, be they …
complex sets of cooperative and competitive interactions between network nodes, be they …
Structural Robustness of Complex Networks: A Survey of A Posteriori Measures [Feature]
Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …
attacks, which has various meanings in different research contexts and here it refers to the …
Robustness optimization scheme with multi-population co-evolution for scale-free wireless sensor networks
Wireless sensor networks (WSNs) have been the popular targets for cyberattacks these
days. One type of network topology for WSNs, the scale-free topology, can effectively …
days. One type of network topology for WSNs, the scale-free topology, can effectively …
Direct evidence of milk consumption from ancient human dental calculus
Milk is a major food of global economic importance and its consumption is regarded as a
classic example of gene-culture evolution. Humans have exploited animal milk as a food …
classic example of gene-culture evolution. Humans have exploited animal milk as a food …
ROSE: Robustness strategy for scale-free wireless sensor networks
Due to the recent proliferation of cyber-attacks, improving the robustness of wireless sensor
networks (WSNs), so that they can withstand node failures has become a critical issue …
networks (WSNs), so that they can withstand node failures has become a critical issue …
Estimation and improvement of transportation network robustness by exploiting communities
Throughout the past years, researchers increasingly study the resilience of transportation
systems through the lens of complex networks. This model simplification has helped to …
systems through the lens of complex networks. This model simplification has helped to …
A learning convolutional neural network approach for network robustness prediction
Network robustness is critical for various societal and industrial networks against malicious
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
attacks. In particular, connectivity robustness and controllability robustness reflect how well a …
A memetic algorithm for enhancing the robustness of scale-free networks against malicious attacks
M Zhou, J Liu - Physica A: Statistical Mechanics and its Applications, 2014 - Elsevier
The robustness of the infrastructure of various real-life systems, which can be represented
by networks and manifests the scale-free property, is of great importance. Thus, in this …
by networks and manifests the scale-free property, is of great importance. Thus, in this …
A convolutional neural network approach to predicting network connectedness robustness
To quantitatively measure the connectedness robustness of a complex network, a sequence
of values that record the remaining connectedness of the network after a sequence of node …
of values that record the remaining connectedness of the network after a sequence of node …
Optimizing network robustness by edge rewiring: a general framework
Spectral measures have long been used to quantify the robustness of real-world graphs. For
example, spectral radius (or the principal eigenvalue) is related to the effective spreading …
example, spectral radius (or the principal eigenvalue) is related to the effective spreading …