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There has been a surge of interest in community detection in homogeneous single-relational networks which contain only one type of nodes and edges. However, many real-world systems are naturally described as heterogeneous multi-relational networks which contain multiple types of nodes and edges....
Persistent link: https://www.econbiz.de/10011163282
Community detection has become an important methodology to understand the organization and function of various real-world networks. The label propagation algorithm (LPA) is an almost linear time algorithm proved to be effective in finding a good community structure. However, LPA has a limitation...
Persistent link: https://www.econbiz.de/10010871774
Community detection is one of the most important problems in complex networks. Many algorithms have been proposed in the last decade, and most of them focus on the non-overlapping community structures in the early days. Overlapping and hierarchical structures are another two important properties...
Persistent link: https://www.econbiz.de/10010872887
dissimilarity between a pair of nodes in networks is introduced according to their time scales of synchronization. Then, using such … a dissimilarity measure in conjunction with a hierarchical clustering method, our extracting method is proposed. The …
Persistent link: https://www.econbiz.de/10010872204
The investigation of community structures is one of the most important problems in the field of complex networks and has countless applications in different disciplines: biology, computer, social sciences, etc. Many community detection algorithms have been developed in various fields recently....
Persistent link: https://www.econbiz.de/10010873826
The investigation of community structure in networks is an important issue in many disciplines, which still remains a challenging task. First, complex networks often show a hierarchical structure with communities embedded within other communities. Moreover, communities in the network may overlap...
Persistent link: https://www.econbiz.de/10010874677
Community detection is of considerable interest for analyzing the structure and function of complex networks. Recently, a type of multi-resolution methods in community detection was introduced, which can adjust the resolution of modularity by modifying the modularity function with tunable...
Persistent link: https://www.econbiz.de/10011059938
Community detection is one of the most investigated problems in the field of complex networks. Although several methods were proposed, there is still no precise definition of communities. As a step toward a definition, I highlight two necessary properties of communities, separation and internal...
Persistent link: https://www.econbiz.de/10010590288
Decomposing a network into small modules or communities is beneficial for understanding the structure and dynamics of the network. One of the most prominent approaches is to repeatedly join communities together in pairs with the greatest increase in modularity so that a dendrogram that shows the...
Persistent link: https://www.econbiz.de/10010591067
Community detection is an important part of network analysis and has become a very popular field of research. This activity resulted in a profusion of community detection algorithms, all different in some not always clearly defined sense. This makes it very difficult to select an appropriate...
Persistent link: https://www.econbiz.de/10009353860