Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks

作     者：Ding, Ying 

作者机构：Indiana Univ Sch Lib & Informat Sci Bloomington IN 47405 USA 

出 版 物：《JOURNAL OF INFORMETRICS》 (计量情报学杂志)

年 卷 期：2011年第5卷第1期

页      面：187-203页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 120501[管理学-图书馆学] 120502[管理学-情报学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Center for Research Resources, NCRR, (U24RR029822) National Center for Research Resources, NCRR 

主　　题：Scientific collaboration Scientific endorsement Topic modeling Path-finding algorithm 

摘      要：Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to collaborate with or cite researchers with the same or different interests, and whether highly cited authors tend to collaborate with or cite each other. Taking information retrieval as a test field, the results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests;they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them;and highly cited authors do not generally coauthor with each other, but closely cite each other. Published by Elsevier Ltd.