基于SNA的学科交叉研究主题分析——以情报学与计算机科学为例  

Topic Analysis of Cross-disciplinary Research Based on SNA——Taking Information Science and Computer Science as an Example

作　　者：李长玲[1] 郭凤娇[1] 支岭[1] 

机构地区：[1]山东理工大学(西校区)科技信息研究所,山东淄博255049

出　　处：《情报科学》2014年第12期61-66,共6页Information Science

基　　金：国家社科基金项目(11BTQ020);山东理工大学人文社会科学发展基金项目(2010GGTD05)

摘　　要：两学科或多学科关键词集合的重叠节点,反映了学科交叉的研究内容。以情报学与计算机科学为例,检索2006-2010年间两学科的主要交流期刊中的交叉文献;分别对两学科交叉文献的关键词共词矩阵进行核心-边缘模型分析,找出主要交叉研究主题;同时,分别对两学科的共词网络进行可视化展示,从中挖掘情报学与计算机科学的主要交叉研究领域与潜在研究主题,为情报学的深入发展与计算机科学的广泛应用提供借鉴。Overlapping nodes of two subjects or disciplines＇ keywords collection can reflect the researchcontent of Interdisciplinary. Taking Information Science and Computer Science as an example, we retrievethe cross literatures in the main communication journals of two disciplines between 2006 and 2010. Thenwe conduct core- periphery model analysis with keywords＇ co-word matrix of two interdisciplinaryliteratures respectively to find major cross research topics. At the same time, visualizing the twodisciplines＇ co-word network respectively and mining major cross-cutting areas of research as well aspotential research topics of the two disciplines. In this way, is a reference for in-depth development ofinformation science and a wide range of applications of computer science provided.

关 键 词：社会网络分析 情报学 计算机科学 学科交叉 

分 类 号：G250.2[文化科学—图书馆学]