-
Stochastic Block Model
The stochastic block model is a statistical problem where the goal is to recover a community structure from a graph. The model is defined by a graph G with vertex set [n] =... -
Amazon co-purchasing graph
The dataset used in the paper is the Amazon co-purchasing graph. -
Synthetic Networks
The dataset used in the paper is a synthetic network generated under four network models: SBM, DCBM, RDPG, and latent space model. -
Community Detection Evaluation
The dataset used in the paper is a collection of real and synthetic networks for community detection evaluation. -
Facebook Social Circles
The Facebook Social Circles dataset contains information about the social connections between users on Facebook. -
Lancichinetti-Fortunato-Radicchi (LFR) Benchmark Graphs
The dataset used in the paper for community detection using the Bayan algorithm. -
Artificial Benchmarks for Community Detection (ABCD)
The dataset used in the paper for community detection using the Bayan algorithm. -
LFR Benchmark
The dataset used in the paper is the LFR benchmark, which generates graphs with different properties. -
Synwalk - Community Detection via Random Walk Modelling
Synwalk - Community Detection via Random Walk Modelling
