TWO COMMUNITY NETWORK GENERATION ALGORITHMS

摘要：

Community network discovery algorithm requires many different community network data to evaluate the algorithm performance. The data sets currently we use are from the reality. During the experiment, these data sets require a large number of pre-work, but the range of their parameters is relatively limited. This paper presents two random community network generation algorithms. They can respectively generate uniform community network and non-uniform community network. At the same time, this paper builds a visible platform. Our experiment results show that the algorithms for generating random community network are feasible and can be used as test data sets generation to test community discovery algorithm.

关键词： Community simulation community datasets community detection

作者: DUAN Xiao-Dong WANG Cun-Rui LI Zhi-Jie SHI Sheng-Jie

作者单位: The Research Institute of Nonlinear Information Technology of Dalian Nationalities University, Dalia The Research Institute of System Science of Northeastern University, Shenyang 110004, China

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 780-783

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）