[Objective] This paper tries to add more academic labels for researchers from scholarly abstracts, aiming to predict their future research interests. [Methods] First, we extracted the basic labels from abstracts with the TF-IDF method. Then, we identified researchers sharing similar academic interests and co-authoriship. Finally, we expanded the basic labels with those from similar scholars and team members. [Results] Compared with existing methods, the proposed one increased recall rate of predicting by 8.33% on average. [Limitations] Our sample size was small, and we only examined scholarly articles in one language. [Conclusions] The proposed method could predict scholars’ future research interests.
( Shang Xianli, Wang Xuedong, Zhang Yuxuan. Academic Blog Knowledge Resource Aggregations Based on Tag Co-occurrences[J]. Information Science, 2016,34(5):125-129.)
( Wu Xiaolan, Zhang Chengzhi. Microblogger Tag Predication Based on User Network and Tag Co-occurrence Network[J]. Journal of the China Society for Scientific and Technical Information, 2015,34(5):459-465.)
( Zhou Xiaoping, Liang Xun, Zhang Haiyan. User Community Detection on Micro-blog Using R-C Model[J]. Journal of Software, 2014,25(12):2808-2823.)
[5]
Khasseh A A, Soheili F, Moghaddam H S, et al. Intellectual Structure of Knowledge in iMetrics: A Co-word Analysis[J]. Information Processing & Management, 2017,53(3):705-720.
doi: 10.1016/j.ipm.2017.02.001
( Wang Zhongyi, Chen Lingli, Huang Jing. Co-citation Analysis of Core Authors on Knowledge Services in China[J]. Information Science, 2017,35(12):66-72.)
[7]
Zhao D Z, Strotmann A. Evolution of Research Activities and Intellectual Influences in Information Science 1996-2005: Introducing Author Bibliographic-coupling Analysis[J]. Journal of the American Society for Information Science & Technology, 2010,59(13):2070-2086.
( Yu Chuanming, Zuo Yuheng, Guo Yajing, et al. 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.)
( Shi Qingwei, Li Yanni, Guo Pengliang. Dynamic Finding of Authors’ Research Interests in Scientific Literature[J]. Journal of Computer Applications, 2013,33(11):3080-3083.)
( Fu Chengzhou, Tang Yong, He Chaobo, et al. Construction Method of Academic Circle Based on Label Similarity Computation[J]. Computer Science, 2016,43(9):52-56, 76.)
.( Li Gang, Xu Jian, Mao Jin, et al. Research on Distribution of Similarity of Research Interests Between Coauthors[J]. Library and Information Service, 2017,61(6):92-98.)
[12]
谢鹏. 面向学术文献的学者兴趣标签识别方法[J]. 情报工程, 2019,5(3):65-73.
[12]
( Xie Peng. Recognition of Scholar Interest Tag for Academic Literatures[J]. Technology Intelligence Engineering, 2019,5(3):65-73.)
( Wang Renwu, Zhang Wenhui. Behavior and Interest Labeling Construction and Application of Academic User Portraits[J]. Journal of Modern Information, 2019,39(9):54-63.)
( Zhong Keyin. Construction of Academic Resource Recommendation System Based on Label and Collaborative Filtering Algorithm[J]. Library Theory and Practice, 2014(9):80-82.)
( Xiao Shibo, Yang Yumei, Lan Ying, et al. Research of Multi-label Attribute-based Academic Document Recommendation[J]. Information Research, 2015(4):8-10.)
( Ba Zhichao, Li Gang, Zhu Shiwei. Similarity Measurement of Research Interests in Semantic Network[J]. New Technology of Library and Information Service, 2016(4):81-90.)
( Feng Xiaodong, Wu Sen, Wang Jiaye. Detecting Potential Research Interest Topics Using Relationship Between Authors and Cited Papers[J]. China Sciencepaper, 2014(1):65-70.)
[19]
Rahman A I M J, Guns R, Rousseau, R, et al. Is the Expertise of Evaluation Panels Congruent with the Research Interests of the Research Groups: A Quantitative Approach Based on Barycenters[J]. Journal of Informetrics, 2015,9(4):704-721.
doi: 10.1016/j.joi.2015.07.009
( Zhang Xueyi, Hu Xingyu, Wu Jun, et al. Evolutionary Model of Interest-based Scientific Collaboration Network[J]. Computer Engineering and Applications, 2010,46(30):104-107, 111.)
doi: 10.3778/j.issn.1002-8331.2010.30.031
.( Xu Jian, Mao Jin, Ye Guanghui, et al. Research on Community Membership Based on the Research Interest Similarity Network of Core Authors: Taking the Domestic Field of Information Science as an Example[J]. Library and Information Service, 2018,62(12):57-64.)
( Li Gang, Li Lanfeng, Mao Jin, et al. Empirical Research on Similarity of Research Interests in Co-authorship Network[J]. Library and Information Service, 2015,59(2):75-81.)
( Liu Feifan, Li Changling, Wei Xuqiu. Research on Potential Collaborators Based on 2-mode Network and G-N Community Clustering Algorithm: Taking Social Network Analysis in the Field of Library and Information Science as an Example[J]. Information Studies: Theory & Application, 2014,37(6):117-122.)
[24]
Cagliero L, Garza P, Kavoosifar M R, et al. Discovering Cross-topic Collaborations Among Researchers by Exploiting Weighted Association Rules[J]. Scientometrics, 2018,116(2):1273-1301.
doi: 10.1007/s11192-018-2737-3
[25]
Zhang Q M, Xu X K, Zhu Y X, et al. Measuring Multiple Evolution Mechanisms of Complex Networks[J]. Scientific Reports, 2015,5: 10350.
doi: 10.1038/srep10350
pmid: 26065382
( Zhang Jinzhu, Han Tao, Wang Xiaomei. Co-authorship Prediction in the Author-keyword Bipartite Networks[J]. Library and Information Service, 2016,60(21):74-80.)
( Zhang Jinzhu, Wang Xiaomei, Han Tao. Predicting Co-authorship with Combination of Paths in Paper-author Bipartite Networks[J]. New Technology of Library and Information Service, 2016 ( 10):42-49.)
( Zhang Jinzhu, Yu Wenqian, Liu Jingjie, et al. Predicting Research Collaborations Based on Network Embedding[J]. Journal of the China Society for Scientific and Technical Information, 2018,37(2):132-139.)
[29]
Zhang J Z. Uncovering Mechanisms of Co-authorship Evolution by Multirelations-based Link Prediction[J]. Information Processing & Management, 2017,53(1):42-51.
doi: 10.1016/j.ipm.2016.06.005
( Wang Zhibing, Han Wenmin, Sun Zhumei, et al. Research on Scientific Collaboration Prediction Based on the Combination of Network Topology and Node Attributes[J]. Information Studies: Theory & Application, 2019,42(8):116-120, 109.)