社会化媒体是一种新型在线媒体,发现并研究其中的社区有利于揭示社会化媒体环境下信息传播与共享的特点和规律。该文基于Web of Science检索得到的文献数据,使用CiteSpace、SATI、UCINET等科学知识图谱软件,从共被引文献、关键词及突现词等角度构建了社会化媒体环境下有关社区发现的科学知识图谱,并对该领域的研究现状、知识演进过程、研究热点和研究前沿进行了可视化分析。
Abstract
Social media is becoming a new online media, the detection and study of the community in which will contribute to the discovery of the pattern and characteristic of information transmission and sharing. In this paper, the knowledge map which focus on community detection in social media was built by some tools such as CiteSpace, SATI and UCINET based on the data from Web of Science. From the perspective of cited references, key words and burst terms, the research status, knowledge evolution process, research hotspot and front were also be analyzed using visual charts.
关键词
社会化媒体 /
社区发现 /
科学知识图谱 /
Web of Science
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Key words
social media /
community detection /
scientific knowledge map /
Web of Science
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参考文献
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脚注
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基金
国家自然科学基金(71003080);中央高校基本科研业务费专项资金(BDY241413)
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