Uncovering Hidden Community Structure in Multi-Layer Networks

Community detection, also known as graph clustering, in multi-layer networks has been extensively studied the literature. The goal of community detection is to partition vertices a network into densely connected components so called communities. Networks contain set strong, dominant communities, which may interfere with weak, natural structure. When most members weak communities belong stronger they are extremely hard be uncovered. We call hidden or disguised In this paper, we present method uncover by weakening strength With aim detect through experiments, observe real-world answer question whether have structure not. Results (HCD) showed great variation number detected multiple layers when compared results other methods.