基于Web of Science的社会化媒体环境下社区发现研究综述  

Overview of Community Detecting in Social Media Based on Web of Science

作　　者：方倩[1] 窦永香[1] 王帮金 

机构地区：[1]西安电子科技大学信息管理系,陕西西安710071

出　　处：《中文信息学报》2017年第3期1-8,共8页Journal of Chinese Information Processing

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)

摘　　要：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。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 u- sing visual charts.

关 键 词：社会化媒体 社区发现 科学知识图谱 Web of SCIENCE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]