| 基于合著与共引关系的学者关联度模型及实证研究 |
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| 引用本文： | 朱云霞.基于合著与共引关系的学者关联度模型及实证研究[J].图书情报工作,2015,59(22):97-104. |
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| 作者姓名： | 朱云霞 |
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| 作者单位： | 南京邮电大学计算机学院 南京 210023 |
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| 基金项目： | 本文系教育部人文社会科学青年基金项目"复杂网络视角下的科学共同体研究"(项目编号:14YJC870028)和江苏省教育厅2012年度高校"青蓝工程"优秀青年骨干教师培养对象资助项目研究成果之一。 |
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| 摘 要： | 目的/意义] 通过对科研群体中学者之间的关联度进行研究,建立一种新的关联度计算模型,为深入分析学者间的关系提供更多视角。方法/过程] 在对已有学者关联度表示方法进行总结的基础之上,将传统研究中的学者间合著关系与文献引用关系进行集成,构建基于合著与共引关系的学者关联度模型。实证部分以图书情报领域17种期刊10余年的文献数据以及引文数据为例,详细阐述基于该模型的复杂网络构建过程,并对该复杂网络的应用价值进行论述。结果/结论] 实证数据表明,该关联度计算模型具有可应用性,构建的网络很好地将有向图与无向图进行了统一,不仅能够反映合著关系也能够体现相互间的共引关系,为深入分析学者间的关联提供数据基础,也能为知识服务和政策制定提供有益的参考。
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| 关 键 词： | 关联度 合著 共引 复杂网络 |
| 收稿时间： | 2015-09-09 |
| 修稿时间： | 2015-10-24 |
Study on Scholastic Correlation Model Based on Co-Author & Co-Citation and a Case Study |
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| Zhu Yunxia.Study on Scholastic Correlation Model Based on Co-Author & Co-Citation and a Case Study[J].Library and Information Service,2015,59(22):97-104. |
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| Authors: | Zhu Yunxia |
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| Institution: | School of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023 |
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| Abstract: | Purpose/significance] Studying the correlation among scholars in research groups, this article builds a new correlation model to provide more views for further analysis of scholastic correlation model.Method/process] This article summarizes the existing research achievement, and then integrates the co-author relationships and references relationships in traditional study to construct a new scholastic correlation model based on co-author and co-citation. In the case study, this article takes the published literature and citation data from 17 journals for more than ten years in library and information science for example, introduces how to build the complex network based on the model in detail, and discusses the application value of the complex network.Result/conclusion] The empirical data shows that the correlation calculation model has applicability. This model unified directed graph and undirected graph as one. It can not only reflect the co-author relationships, but also reflect mutual relations. It can provide a data basis for in-depth analysis of scholars and beneficial reference for knowledge service and policy making. |
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| Keywords: | correlation co-author co-citation complex network |
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