117 citations · 282 across the 5 of their papers we have counts for
6 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…
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…