Papers Dynamic Community Detection
“Dynamic Community Detection” 태그가 달린 논문 11편 · 필터 해제
A Spectral Framework for Tracking Communities in Evolving Networks
Discovering and tracking communities in time-varying networks is an important task in network science, motivated by applications in fields ranging from neuroscience to sociology. In this work, we characterize the celebra…
Community DetectionDynamic Community DetectionRiemannian optimizationSociologyLearning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
Dynamic community detection methods often lack effective mechanisms to ensure temporal consistency, hindering the analysis of network evolution. In this paper, we propose a novel deep graph clustering framework with temp…
ClusteringCommunity DetectionDynamic Community DetectionGraph Clustering+1Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence
Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online behavior. State-of-the-art methods for dete…
Community DetectionDynamic Community DetectionHigher-order Knowledge Transfer for Dynamic Community Detection with Great Changes
Network structure evolves with time in the real world, and the discovery of changing communities in dynamic networks is an important research topic that poses challenging tasks. Most existing methods assume that no signi…
Community DetectionDynamic Community DetectionTransfer LearningDynamic Community Detection via Adversarial Temporal Graph Representation Learning
Dynamic community detection has been prospered as a powerful tool for quantifying changes in dynamic brain network connectivity patterns by identifying strongly connected sets of nodes. However, as the network science pr…
Community DetectionDynamic Community DetectionGraph AttentionGraph Representation Learning+1Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection
Dynamic community detection is the hotspot and basic problem of complex network and artificial intelligence research in recent years. It is necessary to maximize the accuracy of clustering as the network structure change…
ClusteringCommunity DetectionDynamic Community DetectionEvolutionary Algorithms+1Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)
Cultural phylogenies, or "trees" of culture, are typically built using methods from biology that use similarities and differences in artifacts to infer the historical relationships between the populations that produced t…
Community DetectionCultural Vocal Bursts Intensity PredictionDiversityDynamic Community DetectionDynamic Community Detection into Analyzing of Wildfires Events
The study and comprehension of complex systems are crucial intellectual and scientific challenges of the 21st century. In this scenario, network science has emerged as a mathematical tool to support the study of such sys…
Community DetectionDynamic Community DetectionGRADE: Graph Dynamic Embedding
Representation learning of static and more recently dynamically evolving graphs has gained noticeable attention. Existing approaches for modelling graph dynamics focus extensively on the evolution of individual nodes ind…
Community DetectionDynamic Community DetectionDynamic Link PredictionLink Prediction+2Evaluating Community Detection Algorithms for Progressively Evolving Graphs
Many algorithms have been proposed in the last ten years for the discovery of dynamic communities. However, these methods are seldom compared between themselves. In this article, we propose a generator of dynamic graphs …
Community DetectionDescriptiveDynamic Community DetectionIncNSA: Detecting communities incrementally from time-evolving networks based on node similarity
Many real-world systems can be abstracted as networks. As those systems always change dynamically in nature, the corresponding networks also evolve over time in general, and detecting communities from such time-evolving …
Community DetectionDynamic Community DetectionGraph Clustering