40 citations · 174 across the 8 of their papers we have counts for
7 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…
Link Prediction in Complex Networks by Multi Degree Preferential-Attachment Indices
Ke Hu, Ju Xiang, Wanchun Yang +2
In principle, the rules of links formation of a network model can be considered as a kind of link prediction algorithm. By revisiting the preferential attachment mechanism for gene…
Limitation of multi-resolution methods in community detection
Ju Xiang, Ke Hu
Recently, a type of multi-resolution methods in community detection was introduced, which can adjust the resolution of modularity by modifying the modularity function with tunable…