Link Analysis of Chinas Governmental Tourism Websites
With the data retrieved from the search engines Yahoo and Sogou, this paper aimed to study the web page counts, total backlink counts, external backlink counts and the Web Impact Factor (WIF) for governmental tourism websites of Chinese provincial capitals. By studied whether the web page counts, total backlink counts, external backlink counts and WIFs of websites associate with the rating of these websites, it was found that web page counts, external backlink counts and total backlink counts can be better evaluation indexes for governmental tourism websites of Chinese provincial capitals than WIFs. To expect those founding can promote the development of governmental tourism websites.
Caihua Yu Tonghui Lian
College of Economics and Management Southeast University Nanjing, P.R.China College of Management Engineering Anhui Polytechnic University Wuhu, P.R.China
国际会议
International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)
武汉
英文
1-4
2011-08-12(万方平台首次上网日期,不代表论文的发表时间)