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首先介绍了几种主要的复杂网络社团结构划分算法,与传统的数据挖掘聚类算法进行了比较,然后对其在情报学领域的科研合作网络、引文网络、共词网络、网络数据分析的应用进行了介绍,最后建议进一步应用在网络信息资源管理、知识图谱、企业竞争情报、信息传播等领域,希望复杂网络社团结构分析方法为情报学带来新的研究思路和方法,促进情报学的发展。
First of all, it introduces several main algorithms of dividing the structure of the complex network community into comparison with the traditional data mining clustering algorithm. Then it analyzes the application of scientific research cooperation network, citation network, co-word network and network data analysis in the field of information science Finally, it is suggested that it should be further applied in the fields of network information resource management, knowledge map, enterprise competitive intelligence and information dissemination. It is hoped that the complex network community structure analysis method will bring new research ideas and methods for information science and promote the development of information science .