Abstract
Effectively and efficiently ranking authors is a significant work in academic social network analysis. This paper investigates this problem and proposes a feasible method, QRank. First, QRank computes the initial rank score of an author based on the qualities of papers as well as the contributions of the author to those papers. In this step, QRank emphasizes the contribution of first author of a paper and can deal with the situation that only one author presents on a paper. Then, QRank refines the rank score of each author by the mutual influence between authors. Experimental results show QRank is the fast method and obtains better ranking results than the compared methods.
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Li, L., Wang, X., Zhang, Q., Lei, P., Ma, M., Chen, X. (2014). A Quick and Effective Method for Ranking Authors in Academic Social Network. In: Park, J., Chen, SC., Gil, JM., Yen, N. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54900-7_26
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DOI: https://doi.org/10.1007/978-3-642-54900-7_26
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