Network Nodes Community Detection Based on Deep Learning

Network clustering is one of the problems that has attracted many researchers in recent years. In this issue, each user is associated with a specific community based on the various features of the network, including the structure. In the recent years, deep learning is widely used to extract the feature vector of nodes then the vectors are used to find the community of each node. In this paper, a network representation learning algorithm is presented based on the information of the neighbors of each node and communities on the network. The results show that our nodes’ representation method offers a better quality clustering of social networking users than the previous network representation learning methods.

کلیدواژه ها:

Network Clustering ، Deep Learning ، Node Representation Vector ، Network Communities