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机构地区:[1]中山大学资讯管理学院,广州510006 [2]武汉大学信息管理学院,武汉430072
出 处:《情报杂志》2012年第1期95-101,共7页Journal of Intelligence
基 金:国家社会科学基金项目"网络信息资源评价指标体系的构建与实证分析"(批准号:08CTQ015)的研究成果之一
摘 要:网络共链分析和共词分析是网络时代探讨企业竞争关系结构的有效方法。以国际顶尖的银行企业为实证对象,综合应用两种方法研究国际银行业的竞争态势。并利用共词分析获取高质量的博客信息源,通过深层次的内容分析探讨竞争格局变化的原因和走向。研究结果表明,检索词的选择、数据源的覆盖范围、检索工具的语言种类等因素均对分析结果有显著的影响。与共链分析相比,共词分析具有数据来源丰富,研究数据具有时序性,可进行深度的内容挖掘等显著优势,但在基本原理和方法论的研究上亟待加强。网络共链分析和共词分析是互补的关系,应当结合起来使用。Web co-link analysis and co-word analysis are efficient methods to explore competitive relationship structure of companies in the era of Internet.The research takes top banks of the world as empirical objects and combines two methods to study the competitive mapping of global banking industry.Web co-word analysis is used to get high-quality blog data sources and further content analysis is done to explain the variations and get trends of competitive situation.The result shows that Key words selection,data source coverage and language of retrieval tools,for example,all have significant impact on the analysis.Compared with co-link analysis,web co-word analysis has some significant advantages such as rich data sources,time featured data and being fit for further content mining,though study on its basic theory and methodology needs to be strengthened.Web co-link analysis and co-word analysis are complementary and thus should be combined to use.
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