349 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN20 papers
- Shenzhen UniversityCN20 papers
- Texas A&M UniversityUS15 papers
- University of CambridgeGB13 papers
- Zhejiang UniversityCN12 papers
- Beihang UniversityCN11 papers
- Academy of Mathematics and Systems ScienceCN9 papers
- Korea Institute for Advanced StudyKR9 papers
- University of Science and Technology of ChinaCN8 papers
- Beijing Normal UniversityCN7 papers
- Peking UniversityCN7 papers
- Tsinghua UniversityCN7 papers
10 papers · 1 filter
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…
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…
Effectiveness of Rapid Rail Transit System in Beijing
Hui-Min Cheng, Yi-Zi Ning, Xiaoke Ma +1
The effectiveness of rapid rail transit system is analyzed using tools of complex network for the first time. We evaluated the effectiveness of the system in Beijing quantitatively…
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…
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…