Community Structure and Detection in Complex Networks: A Survey
نویسندگان
چکیده
Community structure is common in various real-world networks. Methods or algorithms for detecting such communities in complex networks have attracted great attention in recent years. From a broad perspective of understanding community detection, the study of community structure in networks has a long history. It is closely related to the ideas of graph partitioning in graph theory and computer science, and hierarchical clustering in sociology. Detecting communities is of great importance in sociology, biology and computer science, disciplines where systems are often represented as graphs. This problem is very hard and not yet satisfactorily solved since it has been proved as a NP-hard problem. In this survey, we try to exploit the community detection from the basic issues related such as definitions, a classification of methods and algorithms to the tested benchmarks and real-world applications used in existed algorithms and methods.
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