基于学术授信的群组分析法研究

发布时间：2018-04-21 12:16

本文选题：学术授信 + 群组分析法　；参考：《郑州大学》2017年硕士论文

【摘要】：学术授信指的是一个学者用自身的学术信誉和知识判断作为保证,向其他学者推荐某学者或学术成果的行为,可以理解为信任传递行为。笔者受学术授信思想启发,尝试将学术授信思想运用在学术群组当中,以便更好的探究集体学术授信的成果。笔者在学术授信思想、群体选择理论和引文分析法的理论基础上定义了群组分析法,并构建理论模型。该模型一方面从发文角度对特征群组进行领域研究热点分析,通过分析特征样本群组的学科关键词,挖掘出不同学科领域的群组对各领域内专家、高影响力学术成果以及学科热点的集体授信成果,从而探究出领域研究热点;另一方面从施引角度分析可以对特征群组的授信行为进行研究。通过观察特征群组成员的引证行为,挖掘其引证特征、引证行为能力和学术敏感度;对特征群组的关键词进行分析,可以挖掘出学科研究热点,也有可能发现学科融合现象。在现阶段各学科发展过程中,不少学科之间普遍存在学科的融合发展现象,学科融合的深化会改变学科在原领域单一发展的局面,产生新的研究点,为学科创新提供条件。本文在学术授信思想的基础上,从发文与施引两个角度进行实证研究。根据群组分析法模型,在进行实证研究前需要选择特征样本群组。笔者在实证的第一部分以国内图情领域较有影响力期刊的编委成员作为研究对象,实证中称之为专家群组。从发文角度对专家群组进行学科领域研究热点分析,通过分析专家群组的关键词认同,挖掘出专家群组对于学科领域研究热点的授信情况,并通过研究专家群组的发文数据,得到高产作者、高被引文献等相关信息。笔者在第二部分实证当中以郑州大学信息管理学院图情相关专业的硕士研究生为研究对象,实证中称之为学生群组。从施引角度对学生群组进行引证行为研究,通过分析学生群组的引用偏好及引证特征,探究学生群组对领域内的高影响力学者、期刊、文献以及研究主题的认知情况,从而对特征群组的引证行为能力以及学术敏感度做出评估。同时,通过研究还可以得到领域内高影响力作者、期刊、文献以及学科主题等相关信息。对于专家群组发文关键词的分析,有助于了解学科领域当前的研究热点,发现学科融合现象,为学科的创新发展提供条件。通过对学生群组引证行为的分析,首先有助于了解学生群组的引证特征,从而把握学生群组对于学术的认知及敏感度;其次有助于发现学生群组在引证行为上存在的问题,并引起广大硕士研究生对引文规范的重视,在今后的引用中加以规范;另外还能够了解到学生群组的关注视角,从而探究新的学科主题。
[Abstract]:Academic credit refers to a scholar's behavior of recommending a certain scholar or academic achievement to other scholars with his academic reputation and knowledge judgment as a guarantee, which can be understood as trust transfer behavior. Inspired by the thought of academic credit, the author tries to apply the idea of academic credit to the academic group in order to better explore the achievements of collective academic credit. On the basis of academic credit theory, group selection theory and citation analysis method, the author defines the group analysis method and constructs the theoretical model. On the one hand, the model analyzes the focus of research on feature groups from the point of view of sending papers, and by analyzing the subject keywords of feature sample groups, it finds out the experts from different disciplines. On the other hand, from the perspective of citation analysis, the credit behavior of characteristic groups can be studied. By observing the citation behavior of the members of the feature group, mining the citation characteristics, citation ability and academic sensitivity; analyzing the keywords of the feature group, we can find out the research hotspot of the subject, and may also find the phenomenon of subject fusion. In the process of the development of various disciplines at present, there is a common phenomenon of the integration and development of many disciplines. The deepening of the integration of disciplines will change the situation of the single development of the disciplines in the original field, produce new research points, and provide conditions for the innovation of disciplines. Based on the theory of academic credit, this paper makes an empirical study from the perspectives of publishing and citation. According to the group analysis model, it is necessary to select the characteristic sample groups before the empirical research. In the first part of the empirical study, the author takes the editorial committee members of influential journals in the field of map and information as the research object, which is called expert group. By analyzing the key word identity of expert group, the credit of expert group to the research hot spot of subject field is excavated, and the data of expert group is studied. Relevant information such as high-yield authors, high-cited literature and so on were obtained. In the second part, the author takes the graduate students of Zhengzhou University Information Management School as the research object, which is called student group. The citation behavior of student groups is studied from the perspective of citation. By analyzing the citation preferences and citation characteristics of student groups, this paper probes into the cognition of students' groups to the highly influential scholars, periodicals, literature and research subjects in the field. Thus, the citation ability and academic sensitivity of characteristic groups are evaluated. At the same time, through the research can also obtain the field of high-impact authors, journals, literature and subject topics and other relevant information. The analysis of the key words published by expert groups is helpful to understand the current research hotspots in the field of disciplines, to discover the phenomenon of subject fusion, and to provide conditions for the innovation and development of disciplines. Through the analysis of the citation behavior of the student group, it is helpful to understand the citation characteristics of the student group, so as to grasp the cognition and sensitivity of the student group to the academic; secondly, it is helpful to find out the problems existing in the citation behavior of the student group. It also attracts the attention of the majority of graduate students to the citation criterion, which will be standardized in the future citation. In addition, it can also understand the attention angle of the student group and probe into the new subject theme.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G353.1

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