title: Overlapping Community Detection based on Network Decomposition.
abstract: Community detection in complex network has become a vital step to understand the structure and dynamics of networks in various fields. However, traditional node clustering and relatively new proposed link clustering methods have inherent drawbacks to discover overlapping communities. Node clustering is inadequate to capture the pervasive overlaps, while link clustering is often criticized due to the high computational cost and ambiguous definition of communities. So, overlapping community detection is still a formidable challenge. In this work, we propose a new overlapping community detection algorithm based on network decomposition, called NDOCD. Specifically, NDOCD iteratively splits the network by removing all links in derived link communities, which are identified by utilizing node clustering technique. The network decomposition contributes to reducing the computation time and noise link elimination conduces to improving the quality of obtained communities. Besides, we employ node clustering technique rather than link similarity measure to discover link communities, thus NDOCD avoids an ambiguous definition of community and becomes less time-consuming. We test our approach on both synthetic and real-world networks. Results demonstrate the superior performance of our approach both in computation time and accuracy compared to state-of-the-art algorithms.
authors.affiliation: School of Computer Science and Technology, Anhui University, Hefei 230601, China.|Key Lab of Industrial Image Processing &Analysis of Anhui Province, Anhui Province, Hefei 230039, China.
authors.forename: Zhuanlian
authors.initials: Z
authors.lastname: Ding
authors.affiliation: School of Computer Science and Technology, Anhui University, Hefei 230601, China.
authors.forename: Xingyi
authors.initials: X
authors.lastname: Zhang
authors.affiliation: School of Computer Science and Technology, Anhui University, Hefei 230601, China.
authors.forename: Dengdi
authors.initials: D
authors.lastname: Sun
authors.affiliation: School of Computer Science and Technology, Anhui University, Hefei 230601, China.|Key Lab of Industrial Image Processing &Analysis of Anhui Province, Anhui Province, Hefei 230039, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Luo