A label-based evolutionary computing approach to dynamic community detection

Keyphrases

• Detection Efficiency 100%
• Computing Approach 100%
• Label-only 100%
• Evolutionary Computation 100%
• Dynamic Community Detection 100%
• Network Snapshot 66%
• Temporal Cost 66%
• Dynamic Networks 33%
• Two-objective 33%
• Complex Networks 33%
• Dynamic Structure 33%
• Online Social Networks 33%
• Genetic Algorithm 33%
• Quality Cost 33%
• Multi-objective Optimization Algorithm 33%
• Initialize 33%
• Community Detection 33%
• Community Structure 33%
• Mutation Strategy 33%
• Propagation Method 33%
• Label Propagation 33%
• Number of Communities 33%
• Detection Quality 33%
• Temporal Networks 33%
• Empirical Datasets 33%
• Network Community 33%
• Time-varying Characteristics 33%
• Cluster Quality 33%

Computer Science

• Community Detection 100%
• Network Snapshot 50%
• Network Community 50%
• Dynamic Network 25%
• Optimization Algorithm 25%
• Complex Networks 25%
• Dynamic Structure 25%
• Multi-Objective Optimization 25%
• Online Social Networks 25%
• Genetic Algorithm 25%
• Clustering Quality 25%