93 citations · 245 across the 12 of their papers we have counts for
12 papers
Comment on "Improved mutual information measure for clustering, classification, and community detection"
Zhong-Yuan Zhang
A recent article proposed reduced mutual information for evaluation of clustering, classification and community detection. The motivation is that the standard normalized mutual inf…
Joint Nonnegative Matrix Factorization for Community Structures Detection in Signed Networks
Chao Yan, Hui-Min Cheng, Xin Liu +1
Community structures detection in signed network is very important for understanding not only the topology structures of signed networks, but also the functions of them, such as in…
Evaluation of Community Detection Methods
Xin Liu, Hui-Min Cheng, Zhong-Yuan Zhang
Community structures are critical towards understanding not only the network topology but also how the network functions. However, how to evaluate the quality of detected community…
On approximate equivalence of modularity, D and non-negative matrix factorization
Zhenhai Chang, Hui-Min Cheng, Chao Yan +2
Community structures detection is one of the fundamental problems in complex network analysis towards understanding the topology structures of the network and the functions of it.…
Community Detection in Complex Networks using Link Prediction
Hui-Min Cheng, Yi-Zi Ning, Zhao Yin +3
Community detection and link prediction are both of great significance in network analysis, which provide very valuable insights into topological structures of the network from dif…
On Equivalence of Likelihood Maximization of Stochastic Block Model and Constrained Nonnegative Matrix Factorization
Zhong-Yuan Zhang, Yujie Gai, Yu-Fei Wang +2
Community structures detection in complex network is important for understanding not only the topological structures of the network, but also the functions of it. Stochastic block…
Community Detection in Complex Networks Using Density-based Clustering Algorithm
Tao You, Ben-Chang Shia, Zhong-Yuan Zhang
Like clustering analysis, community detection aims at assigning nodes in a network into different communities. Fdp is a recently proposed density-based clustering algorithm which d…
Link community detection through global optimization and the inverse resolution limit of partition density
Juyong Lee, Zhong-Yuan Zhang, Jooyoung Lee +2
We investigate the possibility of global optimization-based overlapping community detection, using link community framework. We first show that partition density, the original qual…
Community detection in bipartite networks using weighted symmetric binary matrix factorization
Zhong-Yuan Zhang, Yong-Yeol Ahn
In this paper we propose weighted symmetric binary matrix factorization (wSBMF) framework to detect overlapping communities in bipartite networks, which describe relationships betw…
Overlapping Community Detection in Complex Networks using Symmetric Binary Matrix Factorization
Zhong-Yuan Zhang, Yong Wang, Yong-Yeol Ahn
Discovering overlapping community structures is a crucial step to understanding the structure and dynamics of many networks. In this paper we develop a symmetric binary matrix fact…
Enhanced Community Structure Detection in Complex Networks with Partial Background Information
Zhong-Yuan Zhang, Kai-Di Sun, Si-Qi Wang
Community structure detection in complex networks is important since it can help better understand the network topology and how the network works. However, there is still not a cle…
Community Structure Detection in Complex Networks with Partial Background Information
Zhong-Yuan Zhang
Constrained clustering has been well-studied in the unsupervised learning society. However, how to encode constraints into community structure detection, within complex networks, r…