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论文类型：期刊论文

发表时间：2019-08-01

发表刊物：JOURNAL OF INFORMETRICS

收录刊物：SSCI、SCIE、EI

卷号：13

期号：3

页面范围：887-900

ISSN号：1751-1577

关键字：Social analytics; Triadic closure; Bacon number; Generalized friendship paradox

摘要：Collaboration usually has a positive effect on researchers' productivity: researchers have become increasingly collaborative, according to recent studies. Numerous studies have focused on enhancing research collaboration by recommendation technology and measuring the influence of researchers. However, few studies have investigated the effect of collaboration on the position of a researcher in the research social network. In this paper, we explore the relationships between collaboration and influence by social analytical methods, which are pertinent to analyzing the network structure and individual traits. We evaluate three aspects of the researchers' influence: friendship paradox validation, social circle, and structure of a researcher's ego network. Furthermore, the "six degrees of Bacon number" theory, generalized friendship paradox, and triadic closure theory are introduced to support our analysis. Experimental results show that collaboration can help researchers increase their influence to some extent. (C) 2019 Elsevier Ltd. All rights reserved.