Mining Export Behavior Patterns Based on Enterprise Export Market Network

摘要：

In this paper, we attempted to understand economic system complexity by mining pattern rules hidden in complex economic network. Firstly complex-system approach was to model and analyze enterprise export market networks based on considering enterprise as economical agents with heterogeneity. Secondly, for the purpose to identify interesting patterns hidden in market networks, association rule mining technique was used to analyze datasets integrating nonrelational attributes of agents with relational network data. The empirical study results of Chinas Guangdong export trade provided a new insight to understand how agents behavior rules systematically affect the emerging network structure.

关键词： association rule mining export trade bipartite network complex network

作者: LIU Xiao YANG Jianmei

作者单位: College of Economics, Jinan University, Guangzhou, P.R.China, 510632 School of Business Administrati College of Economics, Jinan University, Guangzhou, P.R.China, 510632

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 323-329

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）