Add to ORKGIn this paper, we propose a novel algorithm to identify communities in complex networks based on the node belonging degree. First, we give the concept of the node belonging degree, and then determine whether a node belongs to a community or not according to the belonging degree of the node with respect to the community. The experiment results of three real-world networks: a network with three communities with 19 nodes, Zachary Karate Club and network of American college football teams show that the proposed algorithm has satisfactory community structure detection. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.369
Community structure is a network characteristic where nodes can be naturally divided into densely co...
Community structure detection is of great significance for better understanding the network topology...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
Many complex networks have displayed the community structures, and the detection of community struct...
Network structures, consisting of nodes and edges, have applications in almost all subjects. A set o...
Community structure is one of the common characteristics of complex networks. In the practical work,...
The investigation of community structures in networks is an important issue in many domains and disc...
Networks can be used to model various aspects of our lives as well as relations among many real-worl...
Community structures can reveal organizations and functional properties of complex networks; hence, ...
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.The relationship of friends in...
Abstract—Community detection algorithms are fundamental tools that allow us to uncover organizationa...
Abstract—Community detection algorithms are fundamental tools that allow us to uncover organizationa...
Nodes in the real world networks organize in the form of network communities. A community (also refe...
Nodes in the real world networks organize in the form of network communities. A community (also refe...
A social network can be defined as a set of people connected by a set of people. Social network anal...
Community structure is a network characteristic where nodes can be naturally divided into densely co...
Community structure detection is of great significance for better understanding the network topology...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...
Many complex networks have displayed the community structures, and the detection of community struct...
Network structures, consisting of nodes and edges, have applications in almost all subjects. A set o...
Community structure is one of the common characteristics of complex networks. In the practical work,...
The investigation of community structures in networks is an important issue in many domains and disc...
Networks can be used to model various aspects of our lives as well as relations among many real-worl...
Community structures can reveal organizations and functional properties of complex networks; hence, ...
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.The relationship of friends in...
Abstract—Community detection algorithms are fundamental tools that allow us to uncover organizationa...
Abstract—Community detection algorithms are fundamental tools that allow us to uncover organizationa...
Nodes in the real world networks organize in the form of network communities. A community (also refe...
Nodes in the real world networks organize in the form of network communities. A community (also refe...
A social network can be defined as a set of people connected by a set of people. Social network anal...
Community structure is a network characteristic where nodes can be naturally divided into densely co...
Community structure detection is of great significance for better understanding the network topology...
Network methods have had profound influence in many domains and disciplines in the past decade. Comm...