Title
Study on Community Discovery Algorithm from the Perspection of Label Influence Propagation
Abstract
In order to better discover the overlapping communities, this paper proposes an overlapping community detection method (INFELPA) based on the influence of the label and the spread of the edge tags. We use the influence of the node to initialize the label on the edge and sort the edge's influence to avoid these random factors during the edge label updating process. In order to retain multiple communities we retain multiple labels on the edges and restore the completed edge tag to the node. The experimental results show that this algorithm has certain competitive advantages
Year
DOI
Venue
2018
10.1109/SKG.2018.00025
2018 14th International Conference on Semantics, Knowledge and Grids (SKG)
Keywords
Field
DocType
Image edge detection,Indexes,Clustering algorithms,Heuristic algorithms,Complex networks,Oscillators,Semantics
Data mining,Influence propagation,Computer science,Competitive advantage,sort,Algorithm,Complex network,Cluster analysis,Semantics
Conference
ISSN
ISBN
Citations 
2325-0623
978-1-7281-0441-6
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Jie Jian174.91
Xiaoming Yu200.34
Jinchi Zhu300.34
Xueyan Liu4186.36
Hong-Tao Liu53612.40