文献特征共现分析可以揭示文献的内容关联和特征项隐含的寓意.基于2-模网络模型探讨不同特征共现的分析方法,有利于挖掘不同特征共现网络的深层次结构关系.通过构建2-模网络模型及其测度指标,从多角度揭示某领域的科研单位和关键词在本领域的地位和影响.以应急管理领域的发文活跃单位及其采用的高频关键词为例,共现网络实证分析表明:科研单位的发文数量是体现其学术能力、学术地位和媒介作用的重要指标,但并非发文数量越多影响越大;关键词的频次是衡量其表征研究热点的能力、重要程度和媒介作用的重要指标,但并非频次越高影响越显著.%Co-occurrence analysis of literature features may reveal the content similarity between documents and theimplications of the feature items. Discussing the co-occurrence analysis method of different features based on 2-mode network can dig deeply the structural relationships of its co-occurrence network. The position and influence of research institutes and keywords in a field can be revealed from many aspects with the 2-mode network model and its measurement indicators. Taking high-yielding research institutes in the field of emergency management and high-frequency keywords used by these institutes for example, the demonstration and analysis of the co-occurrence network indicate that the number of papers published is an important indicator of measuring academic ability, scientific status and medium effect of a research institute, and the frequency of keywords can measure its ability of reflecting the central research issues, importance and medium effect of a keyword, but the number of papers and the frequency of keywords are not directly proportional to these indicators.
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