| 基于有向合著网络的核心团队挖掘研究——以图情领域为例 |
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| 引用本文： | 高楠,周庆山.基于有向合著网络的核心团队挖掘研究——以图情领域为例[J].图书情报工作,2021,65(20):81-91. |
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| 作者姓名： | 高楠 周庆山 |
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| 作者单位： | 1. 中国科学技术信息研究所, 北京 100038;2. 北京大学信息管理系, 北京 100871 |
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| 基金项目： | 本文系中国科学技术信息研究所青年项目"新兴技术识别方法与演化路径研究——以集成电路领域为例"（项目编号：QN2021-08）研究成果之一。 |
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| 摘 要： | 目的/意义] 为便于机构人才引进，构建领域核心团队识别规范化流程，从核心区域作者确定、团队指导/师承关系判别、团队发刊倾向和团队研究方向4个方面对领域核心团队进行挖掘研究。方法/过程] 首先，进行数据前期规范；然后，结合作者合著无向二值矩阵与核心-边缘结构分析，划分核心区域作者，综合多维指标对核心区域作者进行适当调整；最后，基于第一作者与其他作者的有向合著网络，识别领域核心研究团队。结果/结论] 在厘清团队指导/师承关系判别基本流程上，提炼通用性规律，包括：①在"外射星型"拓扑结构的合著团队中，处于中心位置节点有较高概率为导师/指导者，而"内聚星型"拓扑结构合著团队位于网络中心的作者科研能力较强；②在第一作者与其他作者的有向合著网络中，两个节点若同时具备第一作者与通讯作者关系、有相同的所属机构、学术年龄有一定差距，则这两个节点间一定存在指导关系，有较高的概率存在师承关系。
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| 关 键 词： | 社会网络分析 有向合著网络 合著 核心-边缘结构 |
| 收稿时间： | 2021-07-19 |
Core Team Mining Research Based on Directed Co-Authorship Network——Taking the Field of LIS as an Example |
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| Gao Nan,Zhou Qingshan.Core Team Mining Research Based on Directed Co-Authorship Network——Taking the Field of LIS as an Example[J].Library and Information Service,2021,65(20):81-91. |
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| Authors: | Gao Nan Zhou Qingshan |
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| Institution: | 1. Institute of Scientific & Technical Information of China, Beijing 100038;2. Department of Information Management, Peking University, Beijing 100871 |
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| Abstract: | Purpose/significance] In order to facilitate the introduction of institutional talents and establish a standardized process for the identifying the domain core team, this study researches the core team in the field from four aspects:author identification in core areas, discrimination of team guidance relationship, team publication tendency and team research direction. Method/process] The selection process of the core team included:firstly, carrying out the preliminary data specification; secondly, the core region authors were divided based on undirected binary matrix and core-edge structure analysis, and they were adjusted appropriately combined with multi-dimensional index; finally, the core research teams were identified based on the directed weighted network between the first author and the other authors. Result/conclusion] On the basis of clarifying the basic process of discriminating the team guidance relationship, the following general rules are refined:①In a co-authoring team of the "outer star" topology, the node at the center has a higher probability of being a mentor, while authors of the "cohesive star" topology whose co-authoring team is located in the center of the network have strong scientific research capabilities; ②In a directed weighted network between the first author and the other authors, if two nodes have the relationship between the first author and the corresponding author at the same time, the same affiliated institution, and a certain difference in academic age, there must be a guidance relationship, and a high probability of a mentoring relationship between these two nodes. |
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| Keywords: | social network analysis directed weighted network co-authoring core-edge structure |
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