35 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Xiangtan UniversityCN4 papers
- Central South UniversityCN3 papers
- Central University of Finance and EconomicsCN3 papers
- Central South University of Forestry and TechnologyCN1 paper
- Chengdu Women's and Children's Central HospitalCN1 paper
- Children's Hospital of Chongqing Medical UniversityCN1 paper
- Chinese Academy of SciencesCN1 paper
- Chongqing Medical UniversityCN1 paper
- Dalian Minzu UniversityCN1 paper
- Hebei University of Science and TechnologyCN1 paper
- Hunan First Normal UniversityCN1 paper
- Jishou UniversityCN1 paper
5 papers · 1 filter
Identifying multi-scale communities in networks by asymptotic surprise
Ju Xiang, Yan Zhang, Jian-Ming Li +2
Optimizing statistical measures for community structure is one of the most popular strategies for community detection, but many of them lack the flexibility of resolution and thus…
Community detection based on significance optimization in complex networks
Ju Xiang, Zhi-Zhong Wang, Hui-Jia Li +4
Community structure is an important structural property that extensively exists in various complex networks. In the past decade, much attention has been paid to the design of commu…
Enhancing community detection by local structural information
Ju Xiang, Ke Hu, Yan Zhang +7
Many real-world networks such as the gene networks, protein-protein interaction networks and metabolic networks exhibit community structures, meaning the existence of groups of den…
Analysis and perturbation of degree correlation in complex networks
Ju Xiang, Ke Hu, Tao Hu +2
Degree correlation is an important topological property common to many real-world networks. In this paper, the statistical measures for characterizing the degree correlation in net…
Multi-resolution community detection based on generalized self-loop rescaling strategy
Ju Xiang, Yan-Ni Tang, Yuan-Yuan Gao +4
Community detection is of considerable importance for analyzing the structure and function of complex networks. Many real-world networks may possess community structures at multipl…