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Title:How are ego-centric networks of researchers coupled?
Author(s):Ma, Yaxue; Mao, Jin; Li, Gang
Subject(s):Ego-centric network
Scientific production
Interpersonal capital
Abstract:Scientific knowledge creation can be viewed as social-economic activities, which inspires us to explore researchers' interpersonal capital and its impact on scientific performance. In this study, we investigate on multiple types of interpersonal relationships between researchers, including co-authorship, author citation, and social relation, which are considered as interpersonal capital of researchers. Thus, three types of ego-centric networks (ECNs) are constructed by using the data from Twitter and Web of Science. The composition of social networks and the coupling relationships between ECNs in terms of the same researchers are analyzed. The preliminary results on the field of Cheminformatics show that most researchers tend to interact with research related accounts in social networks. The coupling degree between co-authorship networks and author citation networks is significantly higher than that between co-authorship networks and friend networks. Researchers are more likely to collaborate with the researchers who have close scholarly communication with them than the friends from social networks. This study contributes to the understanding of interpersonal relationship in scientific community. Future research will focus on the impact of interpersonal capital on scientific performance.
Issue Date:2020-03-23
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2020 Yaxue Ma, Jin Mao, and Gang Li
Date Available in IDEALS:2020-03-17

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