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	Internet based industry community discovery and its applications to industry survey
	Zou, Xiaojun ; Zhang, Hua ; Hu, Junfeng
	2012
英文摘要	With the deepening of social informatization, almost every aspect of the key industries of national economy is reflected on the internet, such as industrial structure, industrial distribution, industrial-scale, industrial development, industrial policies and so on. How to use these massive free industrial data on the internet effectively becomes more and more important for industrial rule exploration and industrial policy formulation. Industry is a concept between microeconomic cells and macroscopical economy units. If each microeconomic cell is viewed as a node in networks, then the whole national economy constitutes a complex network, and further, a specific industry is a community of this complex network. In this paper, we propose the concept of internet based industry community and two discovery algorithms, and then apply them to industry survey. The case study on fishing industry shows that internet based industry community can offer constructive information in tasks such as comparative analysis of domestic and foreign industries and hot events tracking.; EI; 0
语种	英语
DOI标识	10.1049/cp.2012.1207
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294574]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zou, Xiaojun,Zhang, Hua,Hu, Junfeng. Internet based industry community discovery and its applications to industry survey. 2012-01-01.

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