| 利用链接关系评价网络信息的可行性研究 |
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| 引用本文： | 刘雁书,方平.利用链接关系评价网络信息的可行性研究[J].情报学报,2002,21(4):401-406. |
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| 作者姓名： | 刘雁书 方平 |
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| 作者单位： | 中南大学湘雅医学院信息管理系,长沙,410078 |
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| 摘 要： | 目的 :通过对有代表意义网站的链接特征及站外链接类型及特征的调查分析 ,评价利用链接关系评价网络信息的可行性。方法 :利用搜索引擎FastSearch分别检索综合网站与专业网站的被链次数及新浪被不同类型网页链接次数 ,以分析网站的链接特征 ,并对新浪站外链接类型及其特征进行分析。结果 :综合网站与专业网站被链次数存在明显差异 ,站外链接数在总链接数中所占比例超过站内链接数。新浪被不同语种及不同国别网页广泛链接。站外链接可分为推荐链接、合作链接、相关链接、资源链接、通讯链接、广告链接 6种类型。前 3种类型全部是新浪的主页与频道建立的链接 ,对评价网络信息价值更高。结论 :站外链接关系反映的是被链网页被利用与被推荐的总体情况 ,与被链网页质量存在正向 (肯定 )联系 ,因此利用站外链接评价网络信息是可行的。
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| 关 键 词： | 链接关系 网络信息评价 链接类型 万维网 引文分析法 搜索引擎 链接分析法 |
| 修稿时间： | 2001年6月12日 |
Study on the Reliability of Link Popularity in Web Information Evaluation |
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| Liu Yanshu and Fang Ping.Study on the Reliability of Link Popularity in Web Information Evaluation[J].Journal of the China Society for Scientific andTechnical Information,2002,21(4):401-406. |
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| Authors: | Liu Yanshu and Fang Ping |
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| Abstract: | Objective:By exploring the feature of link and extra link type of typical Web sites,to evaluate the reliability of link analysis method.Methods:Using Fast search engine to retrieve link popularity of general and medical Web sites,and Sina's link popularity linked by different types of nodes to analyze the character of link.Sampled and analyzed Sina's extra link to reveal extra link types and its relation with link nodes.Results:There were obvious differences between link popularity of general and medical Web sites.And the percent of extra link in total was higher than that of intra link,and Sina was widely linked by Web nodes of different language,country and organization.Extra link types fall into 6 categories:recommend,cooperation,relation,resource,communication and ads,and links with Sina's homepage and channel are all of the first three types,which were much more valuable in evaluating Web information.Conclusion:Since extra link relationship reflected the utilized and recommended case of linked nodes,and it has positive relationship with the quality of linked nodes,it is reliable to use extra link to evaluate Web information. |
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| Keywords: | link popularity link types Web information evaluation search engine World Wide Web citation analysis method link analysis method |
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