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A Survey of the Research on Big-Scholarly-Data Based Scientific Collaborator Recommendation

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DOI: 10.23977/icamcs2019.01


Hongwu Qin, Penghong Li, Xiuqin Ma

Corresponding Author

Penghong Li


At present, collaboration is a very universal phenomenon in the field of scientific research. Finding the right collaborators is essential to the research work for the majority of scholars. However, with the growth of academic big data, it’s becoming increasingly difficult to find the appropriate collaborators. In recent years, scientific collaborator recommendation based on big scholarly data has been extensively studied. This paper makes a full survey on the algorithms for scientific collaborator recommendation, and the data sources commonly used in the experiments in detail. Some detailed discussions on research challenges and future directions are also provided at the end of this survey.


Big scholarly data, Recommendation, collaborator recommendation, Survey, Scientific collaboration

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