Dynamic Community Detection
5 papers with code • 0 benchmarks • 0 datasets
community detection in dynamic networks
Benchmarks
These leaderboards are used to track progress in Dynamic Community Detection
Most implemented papers
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.
IncNSA: Detecting communities incrementally from time-evolving networks based on node similarity
When the network evolves from the previous snapshot to the current one, the proposed method only considers the community affiliations of partial nodes efficiently, which are either newborn nodes or some active nodes from the previous snapshot.
Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)
The method used in this study is available as a new R package called DynCommPhylo.
Transfer Learning Based Multi-Objective Genetic Algorithm for Dynamic Community Detection
In this paper, we propose a Feature Transfer Based Multi-Objective Optimization Genetic Algorithm (TMOGA) based on transfer learning and traditional multi-objective evolutionary algorithm framework.
Learning 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.
