2nd International Symposium on Application of Materials Science and Energy Materials | |
Visual Analysis of Social Network Influence Based on Knowledge Mapping | |
材料科学;能源学 | |
Sun, Xueying^1 ; Xie, Fu^1 | |
School of Information Science and Engineering, Shandong Normal University, Jinan, China^1 | |
关键词: Chinese Academy of Sciences; Chinese literature; International perspective; Knowledge networks; Network influences; Research frontiers; Research institutions; Tsinghua University; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/490/4/042039/pdf DOI : 10.1088/1757-899X/490/4/042039 |
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学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
In this paper, we were obtained 691 Chinese literatures and 1764 foreign literatures on social network related research from China Knowledge Network and Web of Science, and analyzed using CiteSpace software.From the literature countries, research institutions, keywords, word frequency, cited literature and authors, the mainstream research direction, research frontiers and research hotspots of current social network research are analyzed. The analysis shows that the research on the direction of social network influence is on the rise. From an international perspective, the United States, China, South Korea and England are the core strengths, and the research institutions are mainly China and the United States. From the perspective of research strength, the main domestic forces are Tsinghua University, Chinese Academy of Sciences, Beijing University of Posts and Telecommunications, and City University of Hong Kong. From the research hotspots and frontiers, Weibo and Facebook are the main research platforms, and the vast majority of research data sets come from these two social platforms; Key words such as monitoring social, media influence, user influence, models, behaviors, online social advertising, and heterogeneous social networks represent the main research hotspots and frontiers of social networks.
【 预 览 】
Files | Size | Format | View |
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Visual Analysis of Social Network Influence Based on Knowledge Mapping | 584KB | download |