Abstract Many physical and social systems are best described by networks. And the structural properties of these networks often critically determine the properties and function of the resulting mathematical models. An important method to infer the correlations between topology and function is the detection of community structure, which plays a key role in the analysis, design, and optimization of many complex systems. The nonnegative matrix factorization has been used prolifically to that effect in recent years, although it cannot guarantee balanced partitions, and it also does not allow a proactive computation of the number of communities in a network. This indicates that the nonnegative matrix factorization does not satisfy...
The characterization of network community structure has profound implications in several scientific ...
Community detection is a fundamental problem in the analysis of complex networks. Re-cently, many re...
AbstractIn recent years, the problem of community structure detection has attracted more and more at...
Uncovering community structures is important for understanding networks. Currently, several nonnegat...
Uncovering community structures is important for understanding networks. Currently, several nonnegat...
Discovery of communities in complex networks is a fundamental data analysis problem with application...
Community discovery can discover the community structure in a network, and it provides consumers wit...
Community detection is a fundamental problem in the analysis of complex networks. Recently, many res...
Community structure detection is of great significance for better understanding the network topology...
Many complex systems can be modeled as complex networks, so we can use network theory to study this ...
Detecting communities in real world networks is an important problem for data analysis in science an...
How to determine the community structure of complex networks is an open question. It is critical to ...
Community detection is an important technique to understand structures and patterns in complex netwo...
Constrained clustering has been well-studied in the unsupervised learning society. However, how to e...
The community structure of a complex network can be determined by finding the partitioning of its n...
The characterization of network community structure has profound implications in several scientific ...
Community detection is a fundamental problem in the analysis of complex networks. Re-cently, many re...
AbstractIn recent years, the problem of community structure detection has attracted more and more at...
Uncovering community structures is important for understanding networks. Currently, several nonnegat...
Uncovering community structures is important for understanding networks. Currently, several nonnegat...
Discovery of communities in complex networks is a fundamental data analysis problem with application...
Community discovery can discover the community structure in a network, and it provides consumers wit...
Community detection is a fundamental problem in the analysis of complex networks. Recently, many res...
Community structure detection is of great significance for better understanding the network topology...
Many complex systems can be modeled as complex networks, so we can use network theory to study this ...
Detecting communities in real world networks is an important problem for data analysis in science an...
How to determine the community structure of complex networks is an open question. It is critical to ...
Community detection is an important technique to understand structures and patterns in complex netwo...
Constrained clustering has been well-studied in the unsupervised learning society. However, how to e...
The community structure of a complex network can be determined by finding the partitioning of its n...
The characterization of network community structure has profound implications in several scientific ...
Community detection is a fundamental problem in the analysis of complex networks. Re-cently, many re...
AbstractIn recent years, the problem of community structure detection has attracted more and more at...