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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (3): 90-95    DOI: 10.11925/infotech.2096-3467.2017.03.11
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Analyzing Website Navigation Features of Top U.S. Academic Libraries
Xiangquan Yin(),Shuning Li
Beijing Normal University Library, Beijing 100875, China
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Abstract  

[Objective] This paper studies the navigation features of top academic library websites from the United States, aiming to improve the services of their Chinese counterparts. [Methods] First, we identified library websites of the top 15 U.S. universities and downloaded their navigation texts. Second, we analyzed the similarities and differences among these texts with tag cloud and Vector Space Model. Finally, we examined our findings with the “2016 State of America’s Libraries Report”. [Results] The proposed method was intuitive and generated analysis results fast, which could be further processed with text mining techniques. [Limitations] Only retrieved the first and, second levels of navigation as well as titles of the homepages. [Conclusions] The proposed model provides useful information for the academic libraries in China.

Key wordsU.S. Academic Libraries      Website Navigations      VSM      Investigation and Analysis     
Received: 22 November 2016      Published: 20 April 2017

Cite this article:

Xiangquan Yin,Shuning Li. Analyzing Website Navigation Features of Top U.S. Academic Libraries. Data Analysis and Knowledge Discovery, 2017, 1(3): 90-95.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.03.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I3/90

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