Contextual productivity assessment of authors and journals: a network scientometric approach

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• 作者：Hiran H. Lathabai ; Thara Prabhakaran ; Manoj Changat
• 关键词：2 Mode networks ; Affiliation networks ; Scientometrics ; Injected direct approach ; Scientific productivity ; Contextual productivity
• 刊名：Scientometrics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：110
• 期：2
• 页码：711-737
• 全文大小：
• 刊物主题：Information Storage and Retrieval; Library Science;
• 出版者：Springer Netherlands
• ISSN：1588-2861
• 卷排序：110

文摘

Information networks, especially citation networks, have many proven and potential applications in scientometrics. Identification of productivity of authors and journals is one of the prime concern of analysts. While there are many indices to measure the productivity of author or journal, there is no known index to determine productivity with respect to a particular research context. A network scientometric approach is devised to address the identification of contextual productivity. Work-author and Work-journal affiliations modelled as 2 mode networks provide effective means to assess the productivity of authors and journals in a particular research context. In this work, weighted 2 mode networks are created for the analysis of affiliations networks such that weights reflect some citation characteristics of the works in their original citation network. A set of network indices are proposed for the assessment of contextual importance of authors and journals which are illustrated in the case study of Biotechnology for Engineering. Online databases and digital libraries can use these indices to gather insights about most productive authors and journals, along with the search results.