新型冠状病毒肺炎综述文献的网络结构分析

计算机与现代化 ›› 2022, Vol. 0 ›› Issue (04): 65-71.

新型冠状病毒肺炎综述文献的网络结构分析

(新疆财经大学统计与数据科学学院，新疆乌鲁木齐830012)

出版日期:2022-05-07 发布日期:2022-05-07
作者简介:贾芳弟(1995—)，女，甘肃天水人，硕士研究生，研究方向：复杂网络，社团发现，E-mail: fangdi3@foxmail.com; 刘继(1974—)，男，四川达州人，教授，博士，研究方向：网络舆情，数据智能分析，E-mail: liuji5000@126.com。
基金资助:
国家自然科学基金资助项目(72164034); 新疆维吾尔自治区社会科学基金资助项目(19BTJ036); 新疆维吾尔自治区高校科研计划项目(XJEDU2019SI006)

Analysis on Network Structure of COVID-19’s Review Literature

(School of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumqi 830012, China)

Online:2022-05-07 Published:2022-05-07

摘要/Abstract

摘要： 对新型冠状病毒肺炎综述文献进行网络结构分析可为新冠疫情的应对提供有效的理论支持。采用可视化软件CiteSpace对Web of Science数据库中新型冠状病毒肺炎综述文献的引文数据进行共被引网络分析，经统计发现文献共被引网络的度分布呈幂律分布，网络连通性较强且存在小世界现象。运用团渗流算法对其进行重叠社团挖掘，检测到7篇同时跨3个社团的核心文献，结合被引频次对网络重叠节点的功能进行验证。借助网络重叠节点的ID符号、介数中心性指标发现相应研究主题间联系紧密。通过不同特征的重要网络节点，能够有效挖掘到相关的研究主题。

关键词: 新型冠状病毒肺炎, 文献共被引网络, 重叠社团发现, CiteSpace

Abstract: The analysis of the network structure of COVID-19’s review literature can provide effective theoretical support for COVID-19’s response to the epidemic situation. The co-citation network analysis of COVID-19’s review literature in Web of Science database is carried out by using visualization software CiteSpace. Through statistics, it is found that the degree distribution of literature co-citation network is power-law distribution, network connectivity is strong and there is a small-world phenomenon. The clique percorlation method is used to mine the overlapping communities, and seven core literatures which span three communities at the same time are detected. Combined with the cited frequency, the function of the network overlapping nodes is verified. With the help of ID symbols and intermediate centrality index of network overlapping nodes, it is found that the corresponding research topics are closely related. Through the important network nodes with different characteristics, we can effectively mine the relevant research topics.

Key words: COVID-19, literature co-citation network, overlapping community detection, CiteSpace

贾芳弟, 刘继. 新型冠状病毒肺炎综述文献的网络结构分析[J]. 计算机与现代化, 2022, 0(04): 65-71.

JIA Fang-di, LIU Ji. Analysis on Network Structure of COVID-19’s Review Literature[J]. Computer and Modernization, 2022, 0(04): 65-71.

参考文献

［1］孙吉胜. 新冠肺炎疫情与全球治理变革［J］. 世界经济与政治, 2020(5):71-95.
［2］张生太,宣雅迪,仇泸毅,等. 基于社会网络分析和文献计量学的新冠肺炎学术研究现状与特点研究［J］. 北京邮电大学学报(社会科学版), 2020,22(5):87-98.
［3］陈大明,赵晓勤,缪有刚,等. 全球冠状病毒研究态势分析及其启示［J］. 中国临床医学, 2020,27(1):1-12.
［4］胡雅敏,吴晓燕,陈方. 基于文献计量的新冠肺炎研究进展与国际合作分析［J］. 科学观察, 2021,16(1):82-95.
［5］ CHEN C M. A glimpse of the first eight months of the COVID-19 literature on Microsoft academic graph: Themes, citation contexts, and uncertainties［J］. Frontiers in Research Metrics and Analytics, 2020,5. DOI: 10.3389/frma.2020.607286.
［6］鲍丙豪,王彬,王继升,等. 基于CiteSpace软件的中医治疗新冠肺炎等疫病研究状况及趋势的可视化分析［J］. 世界科学技术-中医药现代化, 2020,22(3):589-596.
［7］姚春霖,孙燕,陈蕊,等. COVID-19相关研究的文献计量学分析［J］. 医学新知, 2021,31(1):14-22.
［8］王艳,夏国光,程洋,等. 基于CiteSpace的新型冠状病毒肺炎治疗研究现状及热点的可视化分析［J］. 中国医院用药评价与分析, 2020,20(8):897-901.〖HJ1.25mm〗
［9］崔靖华,朱学芳. 我国新冠疫情专利主题与热点分析［J］. 现代情报, 2021,41(11):161-169.
［10］陈莹,郭怡博,郭然,等. 基于文献计量学的新型冠状病毒肺炎(COVID-19)研究可视化分析［J］. 中国中药杂志, 2020,45(10):2239-2248.
［11］令娟,樊玉清,胡兰文,等. 基于CiteSpace及VOSviewer的2019新型冠状病毒研究热点的可视化分析［J］. 中华医院感染学杂志, 2020,30(10):1468-1474.
［12］肖雪,陈云伟,邓勇. 引文网络的社团划分研究进展综述［J］. 情报杂志, 2016,35(4):125-130.
［13］NEWMAN M E J, GIRVAN M. Finding and evaluating community structure in networks［J］. Physical Review E, 2004,69(2). DOI: 10.1103/PhysRevE.69.026113.
［14］FORTUNATO S, HRIC D. Community detection in networks: A user guide［J］. Physics Reports, 2016,659:1-44.
［15］PALLA G, DERENYI I, FARKAS I, et al. Uncovering the overlapping community structure of complex networks in nature and society［J］. Nature, 2005,435(7043):814-818.
［16］王旻霞,赵丙军. 科学知识网络的结构特征及演化动力［J］. 情报杂志, 2014,33(5):88-95.
［17］汪小帆,李翔,陈关荣. 网络科学导论［M］. 北京:高等教育出版社, 2012.
［18］李杰,陈超美. CiteSpace: 科技文本挖掘及可视化［M］. 2版. 北京:首都经济贸易大学出版社, 2017.
［19］CHEN C M. Hindsight, insight, and foresight: A multi-level structural variation approach to the study of a scientific field［J］. Technology Analysis & Strategic Management, 2013,25(6):619-640.
［20］陈悦,陈超美,刘则渊,等. CiteSpace知识图谱的方法论功能［J］. 科学学研究, 2015,33(2):242-253.
［21］CHEN C M. Science mapping: A systematic review of the literature［J］. Journal of Data and Information Science, 2017,2(2):1-40.
［22］王伟,杨建林. 基于引文网络重叠社团发现的图书情报领域学科主题结构分析［J］. 情报学报, 2020,39(10):1021-1033.
［23］HOFFMANN M, KLEINE-WEBER H, SCHROEDER S, et al. SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically proven protease inhibitor［J］. Cell, 2020,181(2):271-280.
［24］HUANG C Z. Limit Analysis Theory of the Soil Mass and Its Application［M］. Springer Singapore, 2020.
［25］CHEN C M. Searching for intellectual turning points: Progressive knowledge domain visualization［J］. Proceedings of the National Academy of Sciences of the United States of America, 2004,101(Suppl_1):5303-5310.
［26］贺天伟. 全球新型冠状病毒肺炎研究的科学计量学分析［J/OL］. 科学与管理:1-8(2021-08-31)［2021-09-10］. https://kns.cnki.net/kcms/detail/37.1020.G3.20210830.1650.002.html.
［27］WRAPP D, WANG N S, CORBETT K S, et al. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation［J］. Science, 2020,367(6483):1260-1263.

[1]	董章功, 宋波, 孟友新. 基于SEIR-ARIMA混合模型的新冠肺炎预测[J]. 计算机与现代化, 2022, 0(02): 1-6.
[2]	刘羽飞, 张绪美, 梁晓磊. 基于CiteSpace的AGV路径规划研究热点分析[J]. 计算机与现代化, 2021, 0(05): 112-119.
[3]	薛伟莲，赵娣，张颖超. 室内定位研究综述[J]. 计算机与现代化, 2020, 0(05): 80-.