基于复合主题演化模型的作者研究兴趣动态发现

doi:10.6040/j.issn.1671-9352.1.2017.044

山东大学学报（理学版） ›› 2018, Vol. 53 ›› Issue (9): 23-34.doi: 10.6040/j.issn.1671-9352.1.2017.044

基于复合主题演化模型的作者研究兴趣动态发现

余传明¹,左宇恒¹,郭亚静¹,安璐^2*

1. 中南财经政法大学信息与安全工程学院, 湖北武汉 430073;2. 武汉大学信息管理学院, 湖北武汉 430072

收稿日期:2017-07-04 出版日期:2018-09-20 发布日期:2018-09-10
作者简介:余传明(1978— ),男,博士,副教授,研究方向为数据挖掘与商务智能. E-mail:yucm@zuel.edu.cn *通信作者简介:安璐(1979— ),女,博士,教授,博士生导师,研究方向为可视化知识发现. E-mail:anlu97@163.com
基金资助:
国家自然科学基金资助项目(71373286);教育部哲学社会科学研究重大课题攻关项目(17JZD034);国家自然科学基金青年科学基金项目(71603189)

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

YU Chuan-ming¹, ZUO Yu-heng¹, GUO Ya-jing¹, AN Lu^2*

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

摘要/Abstract

摘要： 以金融领域的科技文献作为实验数据,提出了一种新的用于动态挖掘领域相关的作者研究兴趣的复合主题演化模型。该模型能够获取作者在不同时间片下的主题概率分布以及主题下词汇概率分布,并充分考虑作者在合作作者文献中的排名对于其研究主题和主题变化的影响。通过金融领域的实证研究表明,该复合主题演化模型能够有效地揭示金融领域作者研究兴趣的动态变化。

关键词: 主题挖掘, 主题演化模型, 复合主题演化模型

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

中图分类号:

TP391

余传明,左宇恒,郭亚静,安璐. 基于复合主题演化模型的作者研究兴趣动态发现[J]. 山东大学学报（理学版）, 2018, 53(9): 23-34.

YU Chuan-ming, ZUO Yu-heng, GUO Ya-jing, AN Lu. Dynamic discovery of authors research interest based on the combined topic evolutional model[J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2018, 53(9): 23-34.

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基于复合主题演化模型的作者研究兴趣动态发现

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

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