A novel centrality of influential nodes identification in complex networks

Y Yang, X Wang, Y Chen, M Hu, C Ruan - IEEE access, 2020 - ieeexplore.ieee.org
Influential nodes identification in complex networks is vital for understanding and controlling
the propagation process in complex networks. Some existing centrality measures ignore the …

Identifying influential spreaders in complex networks based on entropy weight method and gravity law

XL Yan, YP Cui, SJ Ni - Chinese physics B, 2020 - iopscience.iop.org
In complex networks, identifying influential spreader is of great significance for improving the
reliability of networks and ensuring the safe and effective operation of networks. Nowadays …

A new method to identify influential nodes based on relative entropy

L Fei, Y Deng - Chaos, Solitons & Fractals, 2017 - Elsevier
How to identify influential nodes is still an open and vital issue in complex networks. To
address this problem, a lot of centrality measures have been developed, however, only …

A novel method to identify influential nodes in complex networks

Y Yang, L Yu, X Wang, S Chen, Y Chen… - International Journal of …, 2020 - World Scientific
Identifying influential nodes in complex networks continues to be an open and vital issue,
which is of great significance to the robustness and vulnerability of networks. In order to …

A novel approach of voterank-based knowledge graph for improvement of multi-attributes influence nodes on social networks

H Van Pham, P Van Duong, DT Tran… - Journal of Artificial …, 2023 - sciendo.com
Recently, measuring users and community influences on social media networks play
significant roles in science and engineering. To address the problems, many researchers …

Comparing local modularity optimization for detecting communities in networks

J Xiang, ZZ Wang, HJ Li, Y Zhang, S Chen… - … Journal of Modern …, 2017 - World Scientific
Community detection is one important problem in network theory, and many methods have
been proposed for detecting community structures in the networks. Given quality functions …

Phase transition of Surprise optimization in community detection

J Xiang, YN Tang, YY Gao, L Liu, Y Hao, JM Li… - Physica A: Statistical …, 2018 - Elsevier
Community detection is one of important issues in the research of complex networks. In
literatures, many methods have been proposed to detect community structures in the …

The influence of the depth of -core layers on the robustness of interdependent networks against cascading failures

Z Dong, Y Fang, M Tian, Z Kong - International Journal of Modern …, 2017 - World Scientific
The hierarchical structure, k-core, is common in various complex networks, and the actual
network always has successive layers from 1-core layer (the peripheral layer) to km-core …

Discriminating complex networks through supervised NDR and Bayesian classifier

KS Yan, LL Rong, K Yu - International Journal of Modern Physics C, 2016 - World Scientific
Discriminating complex networks is a particularly important task for the purpose of the
systematic study of networks. In order to discriminate unknown networks exactly, a large set …