117 citations · 337 across the 9 of their papers we have counts for
9 papers
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…
Predicting disease-related genes by path-based similarity and community structure in protein-protein interaction network
Ke Hu, Jing-Bo Hu, Ju Xiang +4
Network-based computational approaches to predict unknown genes associated with certain diseases are of considerable significance for uncovering the molecular basis of human diseas…
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…
Potts model based on a Markov process computation solves the community structure problem effectively
Hui-Jia Li, Yong Wang, Ling-Yun Wu +2
Potts model is a powerful tool to uncover community structure in complex networks. Here, we propose a new framework to reveal the optimal number of communities and stability of net…
Identifying overlapping communities in social networks using multi-scale local information expansion
Hui-Jia Li, Junhua Zhang, Zhi-Ping Liu +2
Most existing approaches for community detection require complete information of the graph in a specific scale, which is impractical for many social networks. We propose a novel al…
Analysis of stability of community structure across multiple hierarchical levels
Hui-Jia Li, Xiang-Sun Zhang
The analysis of stability of community structure is an important problem for scientists from many fields. Here, we propose a new framework to reveal hidden properties of community…
Measuring robustness of community structure in complex networks
Hui-Jia Li, Hao Wang, Luonan Chen
The theory of community structure is a powerful tool for real networks, which can simplify their topological and functional analysis considerably. However, since community detectio…
Social significance of community structure: Statistical view
Hui-Jia Li, J J. Daniels
Community structure analysis is a powerful tool for social networks, which can simplify their topological and functional analysis considerably. However, since community detection m…
The weighted tunable clustering in local-world networks with incremental behaviors
Ying-Hong Ma, Huijia Li, Xiao-Dong Zhang
Since some realistic networks are influenced not only by increment behavior but also by tunable clustering mechanism with new nodes to be added to networks, it is interesting to ch…