知识图谱视域下国内外社区发现研究动态与热点分析

Research Trends and Hot Topics of Community Detection at Home and Abroad from the Perspective of Knowledge Map

社区发现研究是发现潜在的社区对于信息传播规律的研究,是当前复杂网络领域的研究热点和重要研究方向。文章以Web of Science数据库收录的社区发现文献作为数据样本,借助CiteSpaceV软件进行知识图谱分析,分别绘制了时空分布、文献共被引和关键词科学知识图谱,进而探究了社区发现研究的分布状况、演进轨迹、研究热点及研究前沿。

Community detection research is on transmission rules of the potential communities, and it is a hot topic and an important research area in complex network field. CitespaceV is used to do the knowledge map analysis for all the community detection research literatures collected on the Web of Science database, with which space-time distribution, co-cited reference and co-word knowledge maps are made to analyze the distribution, evolution track, hop topics and fronts in the field of community detection.