Finding Disjoint Dense Clubs in an Undirected Graph

被引:1
|
作者
Zou, Peng [1 ]
Li, Hui [2 ]
Xin, Chunlin [3 ]
Wang, Wencheng [4 ]
Zhu, Binhai [1 ]
机构
[1] Montana State Univ, Dept Comp Sci, Bozeman, MT 59717 USA
[2] Beijing Univ Chem Technol, Dept Comp Sci, Beijing, Peoples R China
[3] Beijing Univ Chem Technol, Sch Econ & Management, Beijing, Peoples R China
[4] Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing, Peoples R China
来源
FRONTIERS IN ALGORITHMICS, FAW 2016 | 2016年 / 9711卷
关键词
K-CLUBS; CLIQUE;
D O I
10.1007/978-3-319-39817-4_27
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In a social network, the trust among its members usually cannot be carried over many hops. So it is important to find disjoint clusters with a small diameter and with a decent size, formally called dense clubs in this paper. This paper focuses on handling this NP-complete problem. First, from the parameterized computational complexity point of view, we show that this problem does not admit a polynomial kernel (implying that it is unlikely to apply some reduction rules to obtain a practically small problem size). Then, we focus on the dual version of the problem, i.e., deleting d vertices to obtain some disjoint dense clubs. We show that this dual problem admits a simple FPT algorithm using a bounded search tree method (the running time is still too high for practical datasets). Finally, we combine a simple reduction rule together with some heuristic method to obtain a practical solution (verified by extensive testing on practical datasets).
引用
收藏
页码:279 / 288
页数:10
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