社会科学视野中的“大数据”研究现状分析

摘要/Abstract

摘要：

本文对国际和国内社会科学大数据研究进行了文献计量分析,定量和定性分析了其研究规律和特点。以学术文献数据库为数据来源,通过文献的统计特征分析了文献增长规律、学科分布特点、高产出机构及其影响力强弱;通过引用和共引分析对研究前沿和知识基础的关系进行研究;最后归纳了研究现状的特点和规律。1.大数据是社会科学的研究热点,图书馆、情报和文献学（information science and library science）是社会科学中大数据研究文献产出最多的学科;2.国内外社会科学大数据研究的知识基础既包含高产学科自身,也广泛吸收了自然科学中计算机通信相关学科和多科学学科的研究成果;3.中国人民大学和哈佛大学在社会科学大数据研究成果数量和影响力方面居国内外首位;4.我国社会bepaly手机下载成果数量已经有明显增加,但国际影响力还不足。

关键词: 大数据, 社会科学, 引文分析, 知识图谱, 文献计量

Abstract:

[Purpose/Significance] This article provides a bibliometric study of the big data research literature in social science to explore its features and patterns both in domestic and international area, quantitatively and qualitatively. [Method/Process] This article collects the data from academic databases, then makes statistical analysis on significant characteristics to evaluate the regularity of document increase, distribution of subject categories, most prolific and impactful institutions, and then discusses the relations between research front and intellectual base via citation and co-citation analysis, finally concludes research features and patterns of big data. [Result/Conclusion] (1) Different subject categories show the different level of research interest while big data research has been one of the most popular topics in social science. The most documents are from information science and library science. (2) Besides journals of high output subject categories, computer science, telecommunications and multidisciplinary journals are common intellectual bases of big data research in social science. (3) Renmin University of China in domestic and Harvard University in the world are top institutions according to the number of fruits and influence of their publications of big data research in social science. (4) For China, publication quantity in social science makes apparent growth while international academic influence is still limited.

Key words: big data, social science, citation analysis, knowledge mapping, bibliometrics

中图分类号:

C91-03

刘玮,马续补,秦春秀,陈颖. 社会科学视野中的“大数据”研究现状分析[J]. beoplay体育提现学报（社会科学版）, 2019, 29(1): 56-64.

LIU WEI,MA XUBU,QIN XIUCHUN,CHEN YING. Bibliometrics of Big Data Research Literature in Social Science[J]. Journal of Xidian University(Social Sciences Edition), 2019, 29(1): 56-64.

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	-2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	合计
数据集1	4	3	8	35	104	287	513	774	1155	1376	61	4320
数据集2	8	1	1	14	152	393	633	683	771	476	0	3132

	类别名称	文献量	占比	源刊数量
1	INFORMATION SCIENCE & LIBRARY SCIENCE	517	11.9%	88
2	MANAGEMENT	452	10.4%	210
3	COMPUTER SCIENCE & INFORMATION SYSTEMS	380	8.7%	148
4	BUSINESS	340	7.8%	140
5	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	269	6.2%	105
6	ENVIRONMENTAL STUDIES	261	6%	109
7	COMMUNICATION	251	5.8%	84

	学科名称	文献量	占比	源刊数量
1	图书馆、情报与文献学	880	28.1%	20
2	教育学	419	13.4%	37
3	新闻与传播学	317	10.1%	15
4	经济学	308	9.8%	75
5	法学	127	4.1%	23

序号	机构名称	文献量	LCS	GCS	序号	机构名称	文献量	LCS	GCS
1	Harvard Univ	63	381	2269	12	Tsinghua Univ	44	16	146
2	Stanford Univ	60	125	947	13	Univ Illinois	44	61	239
3	Chinese Acad Sci	59	29	281	14	Univ Minnesota	42	60	253
4	Univ Michigan	57	99	832	15	MIT	41	507	1477
5	NYU	56	165	471	16	UCL	40	25	417
6	Wuhan Univ	55	41	234	17	Indiana Univ	39	79	668
7	Univ Washington	54	111	748	18	Columbia Univ	36	54	299
8	Univ Oxford	52	133	551	19	Penn State Univ	36	41	382
9	Univ Penn	51	198	1086	20	Univ Cambridge	36	122	867
10	Arizona State Univ	47	47	493	21	Univ Queensland	36	36	467
11	Univ Maryland	47	155	494	22	Univ Wisconsin	36	65	284

序号	机构名称	文献量	总引用数
1	中国人民大学	216	4359
2	武汉大学	209	2213
3	南京大学	143	1930
4	清华大学	113	2518
5	北京大学	92	1723
6	北京师范大学	78	1178
7	华东师范大学	63	1761
8	中国传媒大学	58	1101