To connect structure, dynamics and function in systems with multibody interactions, network scientists model random walks on hypergraphs identify communities that confine the for a long time. The two flow-based community-detection methods Markov stability map equation such based different principles search algorithms. But how similar are resulting communities? We explain both methods’ machinery...

In this paper, we study community detection when observe $m$ sparse networks and a high dimensional covariate matrix, all encoding the same structure among notation="LaTeX">$n$ subjects. asymptotic regime where number of features nota...

In this work, we consider community detection in blockchain networks. We specifically take the Bitcoin network and Ethereum as two examples, where serves different ways. For network, modify traditional method apply it to transaction social cluster users with similar characteristics. on other hand, define a bipartite graph based smart contract transactions. A novel algorithm which is designed fo...