中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research Progress and Development Trend of Social Media Big Data (SMBD): Knowledge Mapping Analysis Based on CiteSpace

文献类型:期刊论文

作者Wang, Ziyi4; Ma, Debin1; Pang, Ru1; Xie, Fan2; Zhang, Jingxiang4; Sun, Dongqi3
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2020-11-01
卷号9期号:11页码:16
关键词social media big data visualization CiteSpace research hotspots research trends bibliometric analysis
DOI10.3390/ijgi9110632
通讯作者Sun, Dongqi(sundq@igsnrr.ac.cn)
英文摘要Social Media Big Data (SMBD) is widely used to serve the economic and social development of human beings. However, as a young research and practice field, the understanding of SMBD in academia is not enough and needs to be supplemented. This paper took Web of Science (WoS) core collection as the data source, and used traditional statistical methods and CiteSpace software to carry out the scientometrics analysis of SMBD, which showed the research status, hotspots and trends in this field. The results showed that: (1) More and more attention has been paid to SMBD research in academia, and the number of journals published has been increased in recent years, mainly in subjects such as Computer Science Engineering and Telecommunications. The results were published primarily in IEEE Access Sustainability and Future Generation Computer Systems the International Journal of eScience and so on; (2) In terms of contributions, China, the United States, the United Kingdom and other countries (regions) have published the most papers in SMBD, high-yield institutions also mainly from these countries (regions). There were already some excellent teams in the field, such as the Wanggen Wan team at Shanghai University and Haoran Xie team from City University of Hong Kong; (3) we studied the hotspots of SMBD in recent years, and realized the summary of the frontier of SMBD based on the keywords and co-citation literature, including the deep excavation and construction of social media technology, the reflection and concerns about the rapid development of social media, and the role of SMBD in solving human social development problems. These studies could provide values and references for SMBD researchers to understand the research status, hotspots and trends in this field.
WOS关键词RISE
资助项目National Natural Science Foundation of China[41971162]
WOS研究方向Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:000593215800001
出版者MDPI
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/156395]  
专题中国科学院地理科学与资源研究所
通讯作者Sun, Dongqi
作者单位1.Jiangsu Normal Univ, Sch Geog Geomat & Planning, Xuzhou 221116, Jiangsu, Peoples R China
2.Beijing Univ Technol, Fac Urban Construct, Beijing 100124, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Nanjing Univ, Sch Architecture & Urban Planning, Nanjing 210093, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ziyi,Ma, Debin,Pang, Ru,et al. Research Progress and Development Trend of Social Media Big Data (SMBD): Knowledge Mapping Analysis Based on CiteSpace[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(11):16.
APA Wang, Ziyi,Ma, Debin,Pang, Ru,Xie, Fan,Zhang, Jingxiang,&Sun, Dongqi.(2020).Research Progress and Development Trend of Social Media Big Data (SMBD): Knowledge Mapping Analysis Based on CiteSpace.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(11),16.
MLA Wang, Ziyi,et al."Research Progress and Development Trend of Social Media Big Data (SMBD): Knowledge Mapping Analysis Based on CiteSpace".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.11(2020):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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