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文章通过中国知网及中文科技期刊数据库,搜集国内图情领域社会网络分析主题的相关文献,并构建了2-模网络数据。从科研网络中同质网络和异质网络的矩阵对比分析及2-模网络的可视化,发现科研网络潜在合作者,并运用G-N社群聚类算法进行作者网络划分,再根据聚类结果挖掘作者群潜在研究主题,为发现科研网络中的潜在合作者和潜在研究主题提供了新的方法和研究视角。
The article collects the relevant literature of the theme of social network analysis in the field of Chinese pictorial information through the Chinese Knowledge Network and the Chinese Science and Technology Periodical Database, and builds the 2-mode network data. From the comparative analysis of homogeneous network and heterogeneous network in scientific research network and the visualization of 2-modal network, we find the potential collaborators in scientific research network and use GN community clustering algorithm to divide the author network, and then excavate the author according to the clustering result The potential research topics in the group provide new ways and perspectives to discover potential collaborators and potential research topics in the research network.