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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 …
On the resilience of modern power systems: A complex network perspective
This paper provides a compressive literature review on the application of complex network
theories in the resilience evaluation and enhancement of modern power systems. First, the …
theories in the resilience evaluation and enhancement of modern power systems. First, the …
GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction
J Chen, X Wang, X Xu - Applied Intelligence, 2022 - Springer
Dynamic network link prediction is becoming a hot topic in network science, due to its wide
applications in biology, sociology, economy and industry. However, it is a challenge since …
applications in biology, sociology, economy and industry. However, it is a challenge since …
Modeling and understanding ethereum transaction records via a complex network approach
As the largest public blockchain-based platform supporting smart contracts, Ethereum has
accumulated a large number of user transaction records since its debut in 2014. Analysis of …
accumulated a large number of user transaction records since its debut in 2014. Analysis of …
Fixed-time consensus for a class of heterogeneous nonlinear multiagent systems
In this brief, we investigate the fixed-time consensus problem for a class of heterogeneous
nonlinear multiagent systems (MASs), where both the leaderless and leader-following …
nonlinear multiagent systems (MASs), where both the leaderless and leader-following …
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 …
Interpretable hierarchical belief rule base expert system for complex system modeling
Y Cao, S Tang, R Yao, L Chang, X Yin - Measurement, 2024 - Elsevier
Belief rule base (BRB) expert system has been widely used in complex system modeling.
Readability and consistency are the primary characteristics and advantages of BRB …
Readability and consistency are the primary characteristics and advantages of BRB …
Fixed-time consensus of nonlinear multi-agent systems with general directed topologies
In this brief, the authors study the fixed-time consensus problem for a class of first-order
nonlinear multi-agent systems where the communication topologies are general directed …
nonlinear multi-agent systems where the communication topologies are general directed …
GA-based Q-attack on community detection
Community detection plays an important role in social networks, since it can help to naturally
divide the network into smaller parts so as to simplify network analysis. However, on the …
divide the network into smaller parts so as to simplify network analysis. However, on the …
A three-stage model of quantifying and analyzing power network resilience based on network theory
This paper introduces a novel three-stage analysis framework for investigating power
network resilience in the face of failures. First, we introduce network modeling and resilience …
network resilience in the face of failures. First, we introduce network modeling and resilience …