Y Bai, S Liu, Q Li, J Yuan - IEEE Transactions on Systems, Man …, 2021 - ieeexplore.ieee.org
It is challenging to deploy check-in nodes optimally in a complex network so as to perform specific check-in like services, eg, fuel supplements etc., but crucial in many real-world …
Z Dong, M Tian, R Tang, X Li, J Lai - Nonlinear Dynamics, 2020 - Springer
It is an effective way to improve network robustness by adding connectivity links. Although some addition strategies have been proposed, the addition cost in spatial networks is still …
J Ma, Z An, S Wang - Nonlinear Dynamics, 2023 - Springer
Real networks usually exhibit community structure characteristics, and communities have heterogeneity. In this paper, we construct a community network model with different average …
Q Li, SY Liu, XS Yang - Expert Systems with Applications, 2020 - Elsevier
Many real-world applications can be modelled as complex networks, and such networks include the Internet, epidemic disease networks, transport networks, power grids, protein …
JE Wang, SY Liu, A Aljmiai, YG Bai - Chinese Physics B, 2021 - iopscience.iop.org
The identification of influential nodes in complex networks is one of the most exciting topics in network science. The latest work successfully compares each node using local …
J Ma, L Kong, HJ Li - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
With the rapid development of technology, the number of packets that need to be transmitted in the network is increasing, which leads to network congestion and reduces the user …
Y Bai, J Yuan, S Liu, K Yin - Applied mathematical modelling, 2019 - Elsevier
In this paper, we proposed a novel two-stage optimization method for network community partition, which is based on inherent network structure information. The introduced …
G Li, ZF Hao, H Huang, H Wei, XM Yan - Physics Letters A, 2019 - Elsevier
In this paper, we focus on how to improve transportation efficiency of scale-free networks via edge increments. Based on analyzing the correlation between algebraic connectivity, which …
Y Bai, Q Li, Y Fan, S Liu - Complex & Intelligent Systems, 2021 - Springer
Dense networks are very pervasive in social analytics, biometrics, communication, architecture, etc. Analyzing and visualizing such large-scale networks are significant …