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Information Behavior of Online Academic Social Platform:Case Study of ESI Highly Cited Researchers of ResearchGate

Published: 13 July 2021 Publication History

Abstract

Academic social networks are profoundly influencing and changing the way researchers connect with each other, share information and collaborate during innovation. Their value is becoming more and more obvious. However, research on academic social networks in general is still very limited, and in particular, there is still a lack of in-depth understanding of users' behavior. This paper aims to investigate the characteristics usage behaviors of ESI highly cited researchers on ResearchGate, and analyzes their specific information behaviors such as registration, information sharing and academic social networking by using the methods of network survey and comparative study. The results showed that 45.21% of ESI researchers have registered with ResearchGate while there are great differences among different disciplines. ESI researchers tend to sharing public information such as projects and research items. Meanwhile, ESI researchers tend to displaying personal information and obtaining academic information but make relatively little use of Q&A service. The spearman correlation tests show that information sharing behaviors have a strong correlation with researchers’ influence while social interaction behaviors do not. Based on the results, this study puts forward the corresponding service optimization strategy.

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        ICSIM '21: Proceedings of the 2021 4th International Conference on Software Engineering and Information Management
        January 2021
        251 pages
        ISBN:9781450388955
        DOI:10.1145/3451471
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Published: 13 July 2021

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