An efficient algorithm for mining a set of influential spreaders in complex networks
L Jiang, X Zhao, B Ge, W **ao, Y Ruan - Physica A: Statistical Mechanics …, 2019 - Elsevier
Identifying the influential nodes in social network is of significance for information spreading,
virus control and contagious disease detection. In this paper, the problem of influential …
virus control and contagious disease detection. In this paper, the problem of influential …
Linear dynamics and control of brain networks
The brain is an intricately structured organ responsible for the rich emergent dynamics that
support the complex cognitive functions we enjoy as humans. With around 10 11 neurons …
support the complex cognitive functions we enjoy as humans. With around 10 11 neurons …
Structure matters: Assessing the statistical significance of network topologies
Network analysis has found widespread utility in many research areas. However, assessing
the statistical significance of observed relationships within networks remains a complex …
the statistical significance of observed relationships within networks remains a complex …
Optimization of controllability and robustness of complex networks by edge directionality
Recently, controllability of complex networks has attracted enormous attention in various
fields of science and engineering. How to optimize structural controllability has also become …
fields of science and engineering. How to optimize structural controllability has also become …
Controllability analysis of the small-world network of neural populations
X Liu, RJ Li, Y Zhao - Europhysics Letters, 2022 - iopscience.iop.org
Controllability analysis of brain networks is the theoretical foundation for neuromodulation
feasibility. This paper presents a new framework for studying controllability of certain brain …
feasibility. This paper presents a new framework for studying controllability of certain brain …
Cascading failures in interdependent networks due to insufficient received support capability
P Cui, P Zhu, C Shao, P Xun - Physica A: Statistical Mechanics and Its …, 2017 - Elsevier
We propose a capability based dependency model of interdependent network that takes two
node dependency properties into account. One is support capability and the other is …
node dependency properties into account. One is support capability and the other is …
Complex network controllability analysis on business architecture optimization
J Chen, H Chen, H Li - Mathematical Problems in Engineering, 2021 - Wiley Online Library
Currently, the business process elements in the design of organizational business
architecture are becoming increasingly complex, showing trends of networking and …
architecture are becoming increasingly complex, showing trends of networking and …
Quantitative controllability index of complex networks
L Wang, Y Zhang, J Han, Z Kong - Advances in Mathematical …, 2018 - Wiley Online Library
In this paper, the controllability issue of complex network is discussed. A new quantitative
index using knowledge of control centrality and condition number is constructed to measure …
index using knowledge of control centrality and condition number is constructed to measure …
A link prediction method based on neural networks
K Li, S Gu, D Yan - Applied Sciences, 2021 - mdpi.com
Link prediction to optimize network performance is of great significance in network evolution.
Because of the complexity of network systems and the uncertainty of network evolution, it …
Because of the complexity of network systems and the uncertainty of network evolution, it …
Two controllable canonical forms for single input complex network
L Wang, L Wang, Z Kong - 2017 29th Chinese Control And …, 2017 - ieeexplore.ieee.org
The outstanding problem of controlling complex networks is relevant to many areas of
science and engineering, and has the potential to generate technological breakthroughs as …
science and engineering, and has the potential to generate technological breakthroughs as …