基于图数据库Neo4j的学者合作图谱分析——以数字人文领域为例

熊回香; 黄晓捷; 陈子薇; 李昕然

doi:10.13266/j.issn.2095-5472.2022.039

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知识管理论坛 ›› 2022, Vol. 7 ›› Issue (4) : 465-476. DOI: 10.13266/j.issn.2095-5472.2022.039

学术探索

基于图数据库Neo4j的学者合作图谱分析——以数字人文领域为例

作者信息 +

Analysis of Scholar Collaboration Map Based on Graph Database Neo4j——Taking the Field of Digital Humanities as an Example

Author information +

文章历史 +

摘要

[目的/意义] 在深度数字化发展的背景下，数字人文成为跨学科深度融合的发展领域，学者之间的科研合作日益频繁，需要对其日趋复杂的合作关系进行分析与挖掘，帮助学者获得潜在的合作机会以促进学术交流。[方法/过程] 将学者、机构、关键词作为节点数据，合著、被引、任职、研究主题作为关系数据，构建学者合作图谱，基于图数据库Neo4j进行存储，并利用Cypher查询语言和GDS算法库对数字人文领域学者的合作社区发现、核心学者识别、合作趋势预测进行分析。[结果/结论] 实验结果证明，Neo4j数据库较好地实现了数字人文领域学者合作网络的构建和图谱分析，能够帮助学者们在众多研究者当中快速地寻找与自己研究兴趣和方向高度关联的跨学科学者，从而促进数字人文领域学者合作与学科发展。

Abstract

[Purpose/Significance] In the context of deep digital development, digital humanities as a development field of interdisciplinary deep integration, the scientific research cooperation among scholars is becoming more and more frequent. It is necessary to analyze and excavate the increasingly complex cooperation relationship, to help scholars obtain potential cooperation opportunities to promote academic exchanges. [Method/Process] In this paper, scholars, institutions and keywords were used as node data, and coauthors, citations, posts and research topics were used as relational data to build scholar-collaboration graphs, which was stored based on the graph database Neo4j. Cypher query language and GDS algorithm library were used to analyze the cooperation community discovery, core scholar identification and cooperation trend prediction of scholars in the field of digital humanities. [Results/Conclusion] The experimental results show that Neo4j can better realize the construction and analysis of scholars' cooperation network in the field of digital humanities. It can help scholars quickly find interdisciplinary scholars who are highly related to their research interests and directions among many researchers, so as to promote scholars' cooperation and discipline development in the field of digital humanities.

导出引用

熊回香 , 黄晓捷 , 陈子薇 , 等. 基于图数据库Neo4j的学者合作图谱分析——以数字人文领域为例[J]. 知识管理论坛. 2022, 7(4): 465-476 https://doi.org/10.13266/j.issn.2095-5472.2022.039

Xiong Huixiang , Huang Xiaojie , Chen Ziwei , et al. Analysis of Scholar Collaboration Map Based on Graph Database Neo4j——Taking the Field of Digital Humanities as an Example[J]. Knowledge Management Forum. 2022, 7(4): 465-476 https://doi.org/10.13266/j.issn.2095-5472.2022.039

中图分类号： G250

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