306 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Electronic Science and Technology of ChinaCN10 papers
- Chuzhou UniversityCN7 papers
- City University of Hong KongHK6 papers
- East China Normal UniversityCN5 papers
- State Key Laboratory of Oil and Gas Reservoir Geology and ExploitationCN5 papers
- Southwest University of Science and TechnologyCN4 papers
- China National Petroleum Corporation (China)CN3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE3 papers
- Kyungpook National UniversityKR3 papers
- Nanyang Technological UniversitySG3 papers
- Sichuan UniversityCN3 papers
- Chengdu University of TechnologyCN2 papers
8 papers · 1 filter
The relative importance of structure and dynamics on node influence in reversible spreading processes
Junyi Qu, Ming Tang, Ying Liu +1
The reversible spreading processes with repeated infection widely exist in nature and human society, such as gonorrhea propagation and meme spreading. Identifying influential sprea…
k-core percolation on interdependent and interconnected multiplex networks
Kexian Zheng, Ying Liu, Yang Wang +1
Many real-world networks are coupled together to maintain their normal functions. Here we study the robustness of multiplex networks with interdependent and interconnected links un…
Learning epidemic threshold in complex networks by Convolutional Neural Network
Qi Ni, Jie Kang, Ming Tang +2
Deep learning has taken part in the competition since not long ago to learn and identify phase transitions in physical systems such as many body quantum systems, whose underlying l…
Machine learning dynamical phase transitions in complex networks
Qi Ni, Ming Tang, Ying Liu +1
In recent years, machine learning has been adopted to complex networks, but most existing works concern about the structural properties. To use machine learning to detect phase tra…
Accurate ranking of influential spreaders in networks based on dynamically asymmetric link-impact
Ying Liu, Ming Tang, Younghae Do +1
We propose an efficient and accurate measure for ranking spreaders and identifying the influential ones in spreading processes in networks. While the edges determine the connection…
Social contagions on time-varying community networks
Mian-Xin Liu, Wei Wang, Ying Liu +3
Time-varying community structures widely exist in various real-world networks. However, the spreading dynamics on this kind of network has not been fully studied. To this end, we s…
Identify influential spreaders in complex networks, the role of neighborhood
Ying Liu, Ming Tang, Tao Zhou +1
Identifying the most influential spreaders is an important issue in controlling the spreading processes in complex networks. Centrality measures are used to rank node influence in…
Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition
Ying Liu, Ming Tang, Tao Zhou +1
Identifying the most influential spreaders is an important issue in understanding and controlling spreading processes on complex networks. Recent studies showed that nodes located…