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.

科学合作和认可是利用三种方法的成熟研究主题：调查/问卷调查、文献计量学和复杂网络分析。本文结合主题建模和寻路算法来确定高产作者是否倾向于与具有相同或不同兴趣的研究人员合作或引用，以及高被引作者是否倾向于相互合作或引用。以信息检索作为测试领域，结果表明，高产作者倾向于与研究兴趣相同的同事直接合着并密切引用；他们一般不直接与研究课题不同的同事合作，而是直接或间接引用他们；并且被高度引用的作者通常不会相互合着，