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Comparing business competition positions based on Web co-link data: The global market vs. the Chinese market

机译:基于Web共链接数据比较商业竞争地位:全球市场与中国市场

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摘要

Based on the findings from earlier studies which showed that links to business Websites contain useful business information, we examined the feasibility of using Web co-link data to compare business competitive positions. We hypothesized that the number of co-links to a pair of business Websites is a measure of the similarity between the two companies. Since similar or related businesses are competing businesses, the co-link data can be used to map business competitive positions. We selected 32 telecommunications companies for the study and collected co-link data to these companies from Yahoo!. Multidimensional scaling (MDS) analysis on the co-link data correctly mapped these companies into telecommunications industry sectors. This proved our hypothesis and further confirmed the theory that links to business Websites can be objects for Web data mining. We collected data in a way that would reflect two markets, the global market and the Chinese market. Results from the two data sets revealed the competitive positions of the companies in the two markets. We propose that regular data collection and analysis based on this method can be used to monitor the business competitive environment and trigger early warnings on the change of the competitive landscape.
机译:基于早期研究的发现,该研究表明到商业网站的链接包含有用的商业信息,我们研究了使用Web联合链接数据比较商业竞争地位的可行性。我们假设,一对企业网站的共同链接数是衡量两家公司之间相似性的量度。由于相似或相关业务是竞争业务,因此可以使用共同链接数据来绘制业务竞争地位。我们选择了32家电信公司进行研究,并从Yahoo!收集了与这些公司的链接数据。对共链接数据的多维缩放(MDS)分析正确地将这些公司映射到了电信行业。这证明了我们的假设,并进一步证实了与企业网站链接可以成为Web数据挖掘对象的理论。我们以反映两个市场(全球市场和中国市场)的方式收集数据。这两个数据集的结果显示了公司在两个市场中的竞争地位。我们建议基于此方法的定期数据收集和分析可用于监视业务竞争环境并触发竞争格局变化的预警。

著录项

  • 来源
    《Scientometrics》 |2006年第3期|p.611-628|共18页
  • 作者

    LIWEN VAUGHAN; JUSTIN YOU;

  • 作者单位

    Faculty of Information and Media Studies, University of Western Ontario London, Ontario, N6A 5B7, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计量学;
  • 关键词

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