Mining web hyperlink data for business information: the case of telecommunication companies

نویسندگان

  • Liwen Vaughan
  • Justin You
چکیده

1 Abstract Few studies have explored the possibility of mining Web hyperlink data for e-commerce or business information. This study is an attempt to fill this gap. The project selected a group of telecommunications equipment companies and collected data on the number of links pointing to the company Websites (inlinks) and the company’s revenue. A significant correlation between the two variables was found, suggesting that inlinks contain useful business information and can be objects for Web data mining. The project then explored the feasibility of using Web co-link data to map business competition positions. Co-link data (links pointing to a pair of company Websites) were collected and analyzed using multidimensional scaling (MDS). MDS maps correctly clustered these companies into sectors of the telecommunications equipment industry. Data collection was repeated after nine months and the results confirmed the reliability of the methodology developed in the study.

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تاریخ انتشار 2005