Abstract
Interdisciplinary scientific research (IDR) has been obtained more and more attention in recent years. This paper studies the problem of which papers are important for IDR. According to the citation relationships among papers, we focus on the influential papers where novel methods or idea are proposed and these new methods are used in different research areas. A two-stage approach is given to find influential papers for interdisciplinarity based on citation diversity. Firstly, the topic distribution of each paper is estimated by training Latent Dirichlet Allocation (LDA) topic model on the papers repository. Then the diversity of cited papers and citing papers are designed to measure the paper’s influence. The effectiveness of the proposed approach is demonstrated through the extensive experiments on a real dataset and a synthetic dataset.
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Wang, K., Sha, C., Wang, X., Zhou, A. (2014). Based on Citation Diversity to Explore Influential Papers for Interdisciplinarity. In: Chen, L., Jia, Y., Sellis, T., Liu, G. (eds) Web Technologies and Applications. APWeb 2014. Lecture Notes in Computer Science, vol 8709. Springer, Cham. https://doi.org/10.1007/978-3-319-11116-2_30
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DOI: https://doi.org/10.1007/978-3-319-11116-2_30
Publisher Name: Springer, Cham
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