| Título: | Community Structure Detection Algorithm Based on the Node Belonging Degree |
| Autores: |
Li, Jian; Southwest University Deng, Huiwen; Southwest University |
| Fecha: | 2013-07-03 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | complex network; community structure; clustering coefficient; node belonging degree |
| Descripción: | In 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. |
| Idioma: | Inglés |