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Scientific collaboration patterns vary with scholars’ academic ages

Scientometrics volume 112, pages 329–343 (2017)Cite this article

Abstract

Scientists may encounter many collaborators of different academic ages throughout their careers. Thus, they are required to make essential decisions to commence or end a creative partnership. This process can be influenced by strategic motivations because young scholars are pursuers while senior scholars are normally attractors during new collaborative opportunities. While previous works have mainly focused on cross-sectional collaboration patterns, this work investigates scientific collaboration networks from scholars’ local perspectives based on their academic ages. We aim to harness the power of big scholarly data to investigate scholars’ academic-age-aware collaboration patterns. From more than 621,493 scholars and 2,646,941 collaboration records in Physics and Computer Science, we discover several interesting academic-age-aware behaviors. First, in a given time period, the academic age distribution follows the long-tail distribution, where more than 80% scholars are of young age. Second, with the increasing of academic age, the degree centrality of scholars goes up accordingly, which means that senior scholars tend to have more collaborators. Third, based on the collaboration frequency and distribution between scholars of different academic ages, we observe an obvious homophily phenomenon in scientific collaborations. Fourth, the scientific collaboration triads are mostly consisted with beginning scholars. Furthermore, the differences in collaboration patterns between these two fields in terms of academic age are discussed.

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Notes

  1. http://dblp.uni-trier.de/xml/.

  2. http://journals.aps.org/datasets.

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Acknowledgements

Funding was provided by the Graduate Education Reform Fund of DUT (Grant No. JG2016022).

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Authors and Affiliations

  1. School of Software, Dalian University of Technology, Dalian, 116620, China

    Wei Wang, Shuo Yu, Teshome Megersa Bekele, Xiangjie Kong & Feng Xia

  2. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China

    Wei Wang, Shuo Yu, Teshome Megersa Bekele, Xiangjie Kong & Feng Xia

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  1. Wei Wang
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  2. Shuo Yu
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  3. Teshome Megersa Bekele
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  4. Xiangjie Kong
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  5. Feng Xia
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Correspondence to Xiangjie Kong.

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Wang, W., Yu, S., Bekele, T.M. et al. Scientific collaboration patterns vary with scholars’ academic ages. Scientometrics 112, 329–343 (2017). https://doi.org/10.1007/s11192-017-2388-9

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