CK-LPA: Efficient community detection algorithm based on label propagation with community kernel

In this study, we propose an efficient community detection method based on the label propagation algorithm (LPA) with community kernel (CK-LPA). We assign a corresponding weight to each node according to node importance in the whole network and update node labels in sequence based on weight. Then, we discuss the composition of weights, the label updating strategy, the label propagation strategy, and the convergence conditions. Compared with the primitive LPA, existing drawbacks are solved by CK-LPA. Experiments and benchmarks reveal that our proposed method sustains nearly linear time complexity and exhibits significant improvements in the quality aspect of static community detection. Hence, the algorithm can be applied in large-scale social networks.