INFORMATION RESEARCH

Core Team Mining Research Based on Directed Co-Authorship Network——Taking the Field of LIS as an Example

  • Gao Nan ,
  • Zhou Qingshan
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  • 1. Institute of Scientific & Technical Information of China, Beijing 100038;
    2. Department of Information Management, Peking University, Beijing 100871

Received date: 2021-07-19

  Online published: 2021-10-22

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.

Cite this article

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 . DOI: 10.13266/j.issn.0252-3116.2021.20.009

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