In the face of a large number of academic paper and authors in various fields, building an intuitive and effective map about authors’ influence and relationship can help us quickly screen and search for influential authors from a large number of authors, and then can be applied to author ranking, author recommendation and other systems. A method of building an author influence map is proposed in this paper. By introducing entropy weight method, each factor’s contribution to evaluating an author’s influence can be quantified. Based on data field theory, an author’s influence in a specific field can be accurately evaluated. The relations between authors include cooperation relationship and reference relationship. In addition, this paper constructed the author influence map in the field of information retrieval, which proved the effectiveness of the method.
CITATION STYLE
Yu, J., Wang, D., Xu, L., & Chen, R. (2019). A Construction Method of Author Influence Map Based on Data Field Theory and Entropy Weight Method. In Communications in Computer and Information Science (Vol. 1137 CCIS, pp. 130–140). Springer. https://doi.org/10.1007/978-981-15-1922-2_9
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