国内外大数据研究领域知识扩散特征分析

发布时间：2018-05-18 16:20

本文选题：大数据 + 知识扩散　；参考：《南京信息工程大学》2017年硕士论文

【摘要】：知识生产的关键环节是知识扩散,在知识的传承与创新中具有重要作用。在当今大数据时代,科研机构对此领域开展研究,涌现了大量优秀的科研成果,在这一背景下,本研究以WOS核心合集中大数据研究领域的文章作为数据源,从学科、作者、关键词这3个维度来探究国外此研究领域知识扩散的特征;以知网中CSSCI期刊的大数据领域论文为研究对象,从学科、期刊、机构、关键词这四个层面探索国内社科领域大数据研究的知识扩散特征。论文从强度和广度这两个维度,对以学科作为主体的知识扩散进行了测量;构建了作者合作网络、期刊引用网络、机构引用网络、关键词共现网络,运用工具Ucinet从密度、中心性、凝聚子群分析、核心-边缘结构分析进行探究,并借助Netdraw通过图形进一步形象展示。通过对国外大数据研究领域知识扩散特征的探讨,从学科看,知识扩散广度呈现相对稳定特征;从研究作者合作看,知识扩散呈现相对封闭的特征;从研究热点来看,呈现节点集聚的特征。阐述国内社科领域大数据研究知识扩散特征,知识扩散广度呈现出现奇点之后相对稳定的特征;从期刊互引和机构互引上来看,呈现知识扩散相对封闭的特征;从研究主题来看,知识扩散节点较集中。整体而言,大数据研究是新兴领域,相关主体应加强交流,了解各自的研究动态,推进知识扩散,促进知识利用效率的提高。
[Abstract]:The key link of knowledge production is knowledge diffusion, which plays an important role in knowledge inheritance and innovation. In the era of big data, scientific research institutions have carried out research in this field, and a large number of excellent scientific research results have emerged. Under this background, this study takes the articles in the field of large data research in the core collection of WOS as the data source, from the subject, the author, These three dimensions are to explore the characteristics of knowledge diffusion in this field of research abroad, and take the big data field papers of CSSCI journals in the knowledge network as the research object, from the subject, the journal, the institution, These four levels explore the characteristics of knowledge diffusion in big data research in the field of social sciences in China. This paper measures the knowledge diffusion with the subject as the main body from the two dimensions of intensity and breadth, constructs the author's cooperative network, the periodical citation network, the institutional citation network, the keyword co-occurrence network, and applies the tool Ucinet to the density. Centrality, condensed subgroup analysis, core-edge structure analysis, and Netdraw through graphics to further image display. Through the discussion of the characteristics of knowledge diffusion in the field of big data research abroad, from the perspective of discipline, the breadth of knowledge diffusion presents a relatively stable feature; from the point of view of the authors' cooperation, knowledge diffusion presents a relatively closed feature; from the point of view of the research hotspot, the knowledge diffusion presents a relatively closed feature. It presents the characteristics of node agglomeration. This paper expounds the characteristics of knowledge diffusion in big data research in the field of social sciences in China, which shows that the breadth of knowledge diffusion is relatively stable after the emergence of singularities, and that the knowledge diffusion is relatively closed in terms of journal citation and institutional citation. From the point of view of the research topic, knowledge diffusion nodes are more concentrated. As a whole, big data research is a new field. The relevant subjects should strengthen communication, understand their research trends, promote knowledge diffusion and promote the efficiency of knowledge utilization.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G201;F49

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