|
|||||
|
|
| 基于社会网络分析的高校教师科研合作关系研究 | |
| 引用本文： | 孟佳娜,孙雪莲,云 健.基于社会网络分析的高校教师科研合作关系研究[J].大连民族学院学报,2015,17(5):525-528. |
| 作者姓名： | 孟佳娜 孙雪莲 云 健 |
| 作者单位： | 大连民族学院 a.计算机科学与工程学院; b.理学院,辽宁 大连116605 |
| 基金项目： | 国家自然科学基金资助项目(61202254);中央高校基本科研业务费专项资金资助项目(DC201502030202,DC201502030405)。 |
| 摘 要： | 以高校教师科研论文合作关系为研究对象,并以教师合作发表论文数据为例,构建了科研论文合作网络,利用Pajek和Ucinet软件对论文合作关系进行了分析,并以社会网络分析方法为基础对网络的整体特性、子网特征及结点的中心性进行了研究。 |
| 关 键 词： | 社会网络分析 度 子网 聚类系数 平均距离 |
Study on Science Research Co-authorship of University Teachers Based on Social Network Analysis |
|
| MENG Jia-na,SUN Xue-lian,YUN Jian.Study on Science Research Co-authorship of University Teachers Based on Social Network Analysis[J].Journal of Dalian Nationalities University,2015,17(5):525-528. | |
| Authors: | MENG Jia-na SUN Xue-lian YUN Jian |
| Institution: | a.College of Computer Science and Engineering; b.College of Science, Dalian Nationalities University, Dalian Liaoning 116605, China |
| Abstract: | Taking the co-authorship of the science research paper of university teachers as a research object, and the teachers' published cooperative paper data as an example, this paper constructs the cooperative science research paper network. Then the paper co-authorship by using the Pajek software and the Ucinet software analyzed. Furthermore, we study the overall characteristics of the network, subnet and node centrality based on social network analysis method. |
| Keywords: | social network analysis degree subnet clustering coefficient average distance |
| 本文献已被 万方数据 等数据库收录！ | |
| 点击此处可从《大连民族学院学报》浏览原始摘要信息 | |
| 点击此处可从《大连民族学院学报》下载免费的PDF全文 | |