id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-028660-hi35xvni	Chen, Jie	Three-Way Decisions Community Detection Model Based on Weighted Graph Representation	2020-06-10		.txt	text/plain	3633	246	56	Community detection algorithm based on three-way decisions (TWD) forms a multi-layered community structure by hierarchical clustering and then selects a suitable layer as the community detection result. Therefore, in this paper, we propose a method for three-way decisions community detection based on weighted graph representation (WGR-TWD). In this paper, we propose a three-way decisions community detection model based on weighted graph representation (WGR-TWD). The graph representation can well transform the global structure of the network into vector representation and make the two nodes in the boundary region that appear in the same community more similar by using the weight. (1) We use weighted graph representation to obtain the global structure information of the network to guide the processing of the boundary region, which gets a better three-way decisions community detection method. In this paper, we propose a method for three-way decisions community detection based on weighted graph representation.	./cache/cord-028660-hi35xvni.txt	./txt/cord-028660-hi35xvni.txt