Community detection is a critical issue in the field of complex networks. Capable of
extracting inherent patterns and structures in high dimensional data, the non-negative matrix …

Community detection is a critical issue in the field of complex networks. Nonnegative matrix
factorization (NMF) has been one of the hot research topics in community detection. In the …

Community detection in networks is valuable in analyzing, designing, and optimizing
complex network. Recently, the nonnegative matrix factorization (NMF) method has …

Community detection is a critical issue in the field of complex networks. Recently, the
nonnegative matrix factorization (NMF) method has successfully uncovered the community …

Community detection is a meaningful task in the analysis of complex networks, which has
received great concern in various domains. A plethora of exhaustive studies has made great …

Community detection is one of the popular research topics in the field of complex networks
analysis. It aims to identify communities, represented as cohesive subgroups or clusters …

Community detection aims at finding all densely connected communities in a network, which
serves as a fundamental graph tool for many applications, such as identification of protein …

Community detection is a well-established problem and nontrivial task in complex network
analysis. The goal of community detection is to discover community structures in complex …

Community structure is the most significant attribute of networks, which is often identified to
help discover the underlying organization of networks. Currently, nonnegative matrix …

Community detection plays an important role in network analysis and has attracted
considerable interest from researchers. In the past few decades, various community …