Evaluation of Core Journals for Digital Library User Community

• Main Authors: Ya-ling Chou, 周雅鈴
• Other Authors: Hei-Chia Wang
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/03936830627022172064

碩士 === 國立成功大學 === 資訊管理研究所 === 95 === Generally, the importance of a journal is decided by its usage rate which usually calculated by different ways. The impact factor proposed for SCI (Science Citation Index) and SSCI (Social Sciences Citation Index) by ISI is regarded as a most popular one. It was counted by citation times in JCR (Journal Citation Reports on the Web) by Institute for Scientific Information (ISI). Many institutions treat it as the importance of journals. However, the impact factor represents the usage rate for “global users” which can not really reflect the requirement of “local users”. In the other words, the impact factor hardly to be used as journal subscribe reference when a library decides which journals should be subscribe for local need in the limitary budget environment (Line, 1977; Bollen, Luce, Vemulapalli, and Xu, 2003). For this reason, the idea of local access rate should be the referred for local journal recommendation was proposed. However, the proposed method has leaded some problems, including: (1) High downloaded journal might be caused by popularity instead of its quality (Zinkhan, 2004; Bauerly and Johnson, 2005). (2) Same calculation weight was assigned to all journals. (Xing and Ghorbani, 2004), and (3) We argue that only articles really be cited can reflect its importance instead of being accessed. In order to solving above problems, an algorithm adapted from PageRank is proposed. It combines citation information of the local users and download frequencies. Moreover, in this proposed method, different weight will be assigned to a journal according usage frequency. This method can solve the problem of not only finding really local usage rate but also same weights of Weighted PageRank(WPR) between different journals to generate Local Impact Factor of journals. Local Impact Factor can be used to assist local manager to realize the real demand of local users.