paper, we propose a parameter-free hierarchical network clustering algorithm DenShrink. By combining the advantages of … density-based clustering and modularity optimization methods, our algorithm can reveal the embedded hierarchical community …

additional nonnegative constraint into this graph clustering problem and design efficient algorithms to optimize the new …

clustering. Our approach is to consider network topology as well as interaction density when identifying overlapping and …

Graph clustering has been an essential part in many methods and thus its accuracy has a significant effect on many … circuits demands clustering algorithms with nearly-linear time and space complexity. In this paper we propose Personalized … PageRank Clustering (PPC) that employs the inherent cluster exploratory property of random walks to reveal the clusters of a …