摘要
在分析现有关系网络分析工具在数据来源以及关联强度测度指标的基础上,发现现有关系网络分析工具在数据源方面存在单一性并且忽略了在线动态科研信息,进而导致在关联强度测度方面存在关系不突出,非重要关系占较大比重及可能的伪合作关系的存在,提出通过多数据源的识别和基于在线动态科研信息的监测来强化重要关系的分析框架。
Based on exploring the SNA analyzing tools in terms of data sources and relationship strength testing,the author finds that the data sources of the existing tools is single and the online dynamic scientific and technological information is neglected,which results in strength of most relationships is not obvious,the number of non-important relationships is large. It is advanced that the analysis framework of reinforcing important relationships can be built based on the identification of multi-data sources and online dynamic information monito-ring.
出处
《情报杂志》
CSSCI
北大核心
2014年第2期104-107,67,共5页
Journal of Intelligence
基金
2013年国家社会科学基金项目"科研领域合作关系的识别与关联强度分析"成果之一(编号:13CTQ024)
关键词
科研合作网络
关系强度分析
合著网络
社会关系网络
科技监测
科研主体
scientific collaboration network
relationship strength analysis
co-authorship networks
SNA
science and technology monitoring
scientific research entities