基于多数据源的专家学术网络构建研究  

To Build the Expert Academic Network Based on the Multi-data Source

作　　者：王炎[1] 魏瑞斌[1] 

机构地区：[1]安徽财经大学管理科学与工程学院,蚌埠233030

出　　处：《情报杂志》2016年第12期121-126,138,共7页Journal of Intelligence

基　　金：中国科学技术信息研究所情报工程实验室开放基金资助项目"工程化视角下的科技信息服务模式研究"研究成果之一;安徽财经大学研究生创新基金项目"基于‘诺贝尔经济学奖’得主信息的经济学发展脉络研究"(编号:ACYC2015142)的研究成果

摘　　要：[目的/意义]为了丰富专家学术网络的理论与方法,探究基于多数据源的专家学术网络的应用,同时为专家选择科研合作对象提供参考。[方法/过程]在对专家学术网络的概念、类型等分析的基础上,提出了基于多数据源构建专家学术网络的框架和流程,并以"云计算"为研究主题进行了科研合作对象选择的实证研究。[结果/结论]实证研究表明,不少专家在论文发表、专利申请和学术专著撰写方面都有合作。在笔者收集的数据集当中,专家在专利合作方面的关系比较稳定,而在论文和专著方面的合作对象有一定的变化。此外,具有相同研究主题的专家之间也可以形成合作,可以选择同领域的专家作为合作对象。[ Purpose/Significance ]In order to enrich the theory and method of expert academic network and explore the application of expert academic network based on multiple data sources, as well as to provide reference for the selection of experts in scientific research cooperation. [ Method/Process] On the analysis of academic experts network concept and types, the paper puts forward framework and process to construct expert academic network based on multiple data sources, and takes ＂cloud computing＂ as the research subject of empirical re- search on the selection of research partners. [ Result/Conclusion] The paper shows that many experts cooperate in the various areas, not only on paper, but also on patent and academic monographs. In the data set collected by the author, different from the papers and monographs area, the relationship between experts in patent area is relatively stable. In addition, experts with same research topic can also have cooperation, so we can choose the experts from same area as the object of cooperation.

关 键 词：专家学术网络 多数据源 科研合作 社会网络分析 

分 类 号：G353.1[文化科学—情报学]