Understanding Success Through the Diversity of Collaborators and the Milestone of Career.
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| Title: | Understanding Success Through the Diversity of Collaborators and the Milestone of Career. |
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| Authors: | Yi Bu1, Ying Ding1,2,3, Jian Xu4, Xingkun Liang5 xujianonline@gmail.com, Gege Gao1, Yiming Zhao6 |
| Source: | Journal of the Association for Information Science & Technology. Jan2018, Vol. 69 Issue 1, p87-97. 11p. 4 Diagrams, 2 Charts, 1 Graph. |
| Subjects: | Factor analysis, Interprofessional relations, Research funding, Science, Vocational guidance, Doctoral programs, Citation analysis |
| Abstract: | Scientific collaboration is vital to many fields, and it is common to see scholars seek out experienced researchers or experts in a domain with whom they can share knowledge, experience, and resources. To explore the diversity of research collaborations, this article performs a temporal analysis on the scientific careers of researchers in the field of computer science. Specifically, we analyze collaborators using 2 indicators: the research topic diversity, measured by the Author-Conference-Topic model and cosine, and the impact diversity, measured by the normalized standard deviation of h-indices. We find that the collaborators of high-impact researchers tend to study diverse research topics and have diverse h-indices. Moreover, by setting PhD graduation as an important milestone in researchers' careers, we examine several indicators related to scientific collaboration and their effects on a career. The results show that collaborating with authoritative authors plays an important role prior to a researcher's PhD graduation, but working with nonauthoritative authors carries more weight after PhD graduation. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Scientific collaboration is vital to many fields, and it is common to see scholars seek out experienced researchers or experts in a domain with whom they can share knowledge, experience, and resources. To explore the diversity of research collaborations, this article performs a temporal analysis on the scientific careers of researchers in the field of computer science. Specifically, we analyze collaborators using 2 indicators: the research topic diversity, measured by the Author-Conference-Topic model and cosine, and the impact diversity, measured by the normalized standard deviation of h-indices. We find that the collaborators of high-impact researchers tend to study diverse research topics and have diverse h-indices. Moreover, by setting PhD graduation as an important milestone in researchers' careers, we examine several indicators related to scientific collaboration and their effects on a career. The results show that collaborating with authoritative authors plays an important role prior to a researcher's PhD graduation, but working with nonauthoritative authors carries more weight after PhD graduation. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 23301635 |
| DOI: | 10.1002/asi.23911 |
