JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2018, Vol. 53 ›› Issue (9): 23-34.doi: 10.6040/j.issn.1671-9352.1.2017.044

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Dynamic discovery of authors research interest based on the combined topic evolutional model

YU Chuan-ming1, ZUO Yu-heng1, GUO Ya-jing1, AN Lu2*   

  1. 1. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, Hubei, China;
    2. School of Information Management, Wuhan University, Wuhan 430072, Hubei, China
  • Received:2017-07-04 Online:2018-09-20 Published:2018-09-10

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Abstract: We propose a new combined topic model, i.e. author topic time-latent dirichlet allocation(ATT-LDA)with author ranking(AR), for the of dynamic discovery of researchers' interest, which is based on the academic literature in the financial field. Through the proposed model, we can easily acquire the probability distribution of the authors' interest, as well as the probability distribution of topics on deferent words. The influence of the ranking in the co-author list are fully taken into consideration. The empirical study shows that the proposed method can effectively reveal the dynamic change of interest of the authors in the financial field.

Key words: combined topical model, topic mining, topic evolution model

CLC Number: 

  • TP391
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