An Floyd-Warshall Evolution Relations Algorithm Based on Social Networks Key Groups. Issue 1 (1st April 2022)

• Record Type: Journal Article
• Authors: Gao, Zhan; He, Junjiang; Li, Tao; Chen, Yang; Fang, Wenbo; Li, Zhiyong
• Is Part Of: Journal of physics. Volume 2219:Issue 1(2022)
• Publication Date: 2022-04-01
• Subjects: Evolutionary relationship -- Floyd-Warshall algorithm -- Social network group -- Relationship weighted; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2219/1/012043
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the development of the society, people increasingly frequent application in social network, the formation of social networking groups become important step in people's life. How to analyze the evolution of social network group relations become very important. In this paper, an Floyd-Warshall evolution relations algorithm based on social networks key groups is proposed. Mainly includes four parts, initial construction of social network group relations, social big data acquisition, network group relations weighting, and group relations reconstruction. Experimental results show that, by analyzing group communication frequency, group membership relationship and the number of social group members, the evolution map of social network group relationship can be obtained, which can make a more intuitive analysis and expression of the development process of social network group and the evolution of social network group relationship.