Web Presence of Repositories of Indian Institutes of Technology: A Webometric Study

Dr.Babita Jaiswal, R. Arya
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Abstract

Links weave web documents together in a complex, structured hypertext corpus. Web links studies have been conducted by the scholars and information professionals all over the world since its introduction. The main objective of the study is to investigate the web presence of repositories of Indian Institutes of Technology (IITs) as a part of the World Wide Web. To investigate the web presence the few sub-objectives have been framed such as to identify IITs which are having their repositories; to find out the TLD, cc TLD and file formats use by the repositories; to find out total number of Web Pages, Link Web Pages, Self Link Web Pages, External Link Web Pages and Inlink Web Pages; to calculate Overall Web Impact Factor, Simple Web Impact Factor, Self Link Web Impact Factor, External Link Web Impact Factor and Inlink Web Impact Factor. Google covers more hyperlinks with advanced search facilities to count links possessed by the websites. Therefore, the present study has used Google to collect raw data, i.e., number of web pages, number of inlinks, self links and external links etc. Boolean operators are also used to form query syntaxes for retrieving data. SocSciBot web crawler is also employed. It is used to create network map of all the websites. URLs/websites of repositories are tested through command line textual queries like link, linkdomain, site, etc. Findings have been derived after analyzing the data.
印度理工学院知识库的网络存在:一项网络测量研究
链接将网络文档编织成一个复杂的、结构化的超文本语料库。自网络链接问世以来,世界各地的学者和信息专业人士都对其进行了研究。该研究的主要目的是调查印度理工学院(iit)知识库的网络存在,作为万维网的一部分。为了调查网络的存在,已经制定了几个子目标,例如确定拥有其存储库的iit;查阅资料库所使用的顶级域名、抄送顶级域名及文件格式;查询网页、连结网页、自连结网页、外连结网页及内连结网页的总数;计算整体Web影响因素,简单的Web影响因素,自链接Web影响因素,外部链接Web影响因素和内链接Web影响因素。谷歌覆盖了更多的超链接与先进的搜索设施,以计算网站拥有的链接。因此,本研究使用Google收集原始数据,即网页数量,链接数量,自链接和外部链接等。布尔运算符还用于形成检索数据的查询语法。还使用了SocSciBot网络爬虫。它用于创建所有网站的网络地图。通过命令行文本查询(如link, linkdomain, site等)测试存储库的url /网站。这些发现是在分析数据后得出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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