期刊文献+

基于链接分析的山东高校网站评价研究 被引量:2

Based on the analysis of the Shandong university website links evaluation research
下载PDF
导出
摘要 目的通过对高校网站网络信息的计量研究,揭示高校网站的特征、数量关系和内在的普遍规律,使高校在网络信息资源的利用方面发挥更好的作用,充分发挥其办学效益和社会价值。方法以山东省高校网站为研究对象,使用Alexa统计了32所大学网站的人均页面浏览量、日均IP访问量,选用AltaVista检索了网页总数、链接总数和外部链接数作为研究数据,采用两种方式计算网络影响因子,对各元素间的相关性进行了分析,并对山东高校网站的反向链接做了一定的研究。结果山东高校网站的被引率普遍偏低。相关性分析表明,网页总数和网站链接总数有着非常显著的统计学意义。经研究发现,反向链接一定程度上增加了高校网站的点击量。结论传统网络影响因子的计算不能用来评价某个高校的网站情况。山东高校网站内容不够丰富,网站学术交流不多。建议高校重视网站的自身建设,提高网站的内容质量和资源利用率。 Objective:Based on the measurement research of university website network information,it discloses the features,quantity relationship,and inner universal law of university web site.It also makes the university in the use of network information resource has better effect,giving full play to its scholastic benefit and social value.Methods:This paper chose university websites of Shandong as the research object,used the Alexa statistics of 32 university websites' per capita page views and average daily IP traffic,chose AltaVista searching the webpage numbers and total linking numbers and external links as research data,calculated the WIF with two methods,and analyzed the correlation between each element.In addition,this paper makes a research of the backward chaining.Results:The cited rate of Shandong university website is generally low.Correlation analysis showed,the total webpage numbers and the total linking numbers have significant statistical significance.The study found that the backward chaining could increase the hits of the university websites.Conclusion:The traditional calculation of web impact factors can not be used to evaluate a university website.Shandong university website contents are not rich enough,and lack of academic exchange.The universities should pay attention to the self-construction of websites,and improve the quality of website contents and resource utilization rate.
作者 刘媞媞
机构地区 泰山医学院
出处 《泰山医学院学报》 CAS 2011年第12期920-924,共5页 Journal of Taishan Medical College
关键词 链接分析 网络影响因子 网络影响力 link analysis network impact factor network influence
  • 相关文献

参考文献3

二级参考文献9

同被引文献48

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部