- Home
- Publications
- Publication Search
- Publication Details
Title
An evolutionary autoencoder for dynamic community detection
Authors
Keywords
-
Journal
Science China-Information Sciences
Volume 63, Issue 11, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-10-07
DOI
10.1007/s11432-020-2827-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Detecting Prosumer-Community Groups in Smart Grids From the Multiagent Perspective
- (2019) Jie Cao et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Detecting the evolving community structure in dynamic social networks
- (2019) Fanzhen Liu et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Community Discovery in Dynamic Networks
- (2018) Giulio Rossetti et al. ACM COMPUTING SURVEYS
- Network science of biological systems at different scales: A review
- (2018) Marko Gosak et al. Physics of Life Reviews
- Global spectral clustering in dynamic networks
- (2018) Fuchen Liu et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Collapse and rescue of cooperation in evolving dynamic networks
- (2018) Erol Akçay Nature Communications
- A Hybrid Algorithm for Estimating Origin-Destination Flows
- (2018) Xianghua Li et al. IEEE Access
- A network approach to topic models
- (2018) Martin Gerlach et al. Science Advances
- Information Limits for Recovering a Hidden Community
- (2017) Bruce Hajek et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Evolutionary Nonnegative Matrix Factorization Algorithms for Community Detection in Dynamic Networks
- (2017) Xiaoke Ma et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Efficient Detection of Communities in Biological Bipartite Networks
- (2017) Paola Gabriela Pesantez et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Dynamic community detection based on network structural perturbation and topological similarity
- (2017) Peizhuo Wang et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Architecture of the human interactome defines protein communities and disease networks
- (2017) Edward L. Huttlin et al. NATURE
- The fundamental advantages of temporal networks
- (2017) A. Li et al. SCIENCE
- Generative Agent-Based Modeling and Empirical Validation of the Size Distribution of Hospitals
- (2017) Baojun Gao et al. IEEE Transactions on Systems Man Cybernetics-Systems
- The ground truth about metadata and community detection in networks
- (2017) Leto Peel et al. Science Advances
- Network Community Detection based on the Physarum-inspired Computational Framework
- (2016) Chao Gao et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- PR-Index: Using the h-Index and PageRank for Determining True Impact
- (2016) Chao Gao et al. PLoS One
- A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization
- (2015) Liang Yang et al. IEEE Transactions on Cybernetics
- Saving Human Lives: What Complexity Science and Information Systems can Contribute
- (2014) Dirk Helbing et al. JOURNAL OF STATISTICAL PHYSICS
- An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks
- (2013) Francesco Folino et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Identifying Evolving Groups in Dynamic Multimode Networks
- (2011) Lei Tang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network
- (2011) José de Jesús Rubio et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Community Structure in Time-Dependent, Multiscale, and Multiplex Networks
- (2010) P. J. Mucha et al. SCIENCE
- On evolutionary spectral clustering
- (2009) Yun Chi et al. ACM Transactions on Knowledge Discovery from Data
- Analyzing communities and their evolutions in dynamic social networks
- (2009) Yu-Ru Lin et al. ACM Transactions on Knowledge Discovery from Data
- Quantitative function for community detection
- (2008) Zhenping Li et al. PHYSICAL REVIEW E
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More