Page 103 - Journal of Library Science in China, Vol.45, 2019
P. 103

102   Journal of Library Science in China, Vol.11, 2019



            communication, which is data representation of communication elements interaction under
            certain communication modes. Based on Lancaster model (Yue, 1999) and context of academic
            communication in networking era, roles and relations of academic communication elements (such
            as user, journal publisher, information integration platform and information center) can be arranged
            and then academic communication process and pattern that generate usage data can be summarized
            as follows. Users establish relations with journal publishers mainly by submitting papers. Journal
            publishers establish relations with users, information centers and information integration platforms
            mainly by publishing papers and transferring copyrights of papers. Information integration
            platforms build relations with journal publishers by purchasing copyrights of papers and then
            produce academic databases. Information centers establish relations with journal publishers and
            information integration platforms by purchasing journals or academic databases. Users browse
            or read papers through a series of channels, such as journal publishers (paper version or digital
            version on journal official websites), information integration platforms or information centers
            (as shown in Figure 1). In this study, usage data generated only in the process of academic
            communication through journal official websites and information integration platform (direct
            access or indirect access) are explored.






























                        Figure 1. Academic communication process and pattern that generate usage data


              Then, based on current research and usage data from different channels, this study holds that user
            preferences can be explored and characteristics and laws of user usage patterns can be revealed by
            usage metrics. User preferences mainly consist of platform selection preferences (channels) and
            research interest preferences (information resources). Platform selection preferences usually affect
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