Research Scholar Interest Mining Method Based on Load Centrality
JIANG Yang, XUE Zhe, LI Ang
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
JIANG Yang, XUE Zhe, LI Ang. Research Scholar Interest Mining Method Based on Load Centrality[J]. Computer Engineering and Applications, 2023, 59(12): 94-99.
[1] LIU X,ZHU D,WANG X,et al.Multi-expertise researcher identification:a case study of the big data[J].Library and Information Service,2018,62(3):55.
[2] MENG D,JIA Y,DU J,et al.Data-driven control for relative degree systems via iterative learning[J].IEEE Transactions on Neural Networks,2011,22(12):2213-2225.
[3] FANG Y,DENG W,DU J,et al.Identity-aware CycleGAN for face photo-sketch synthesis and recognition[J].Pattern Recognition,2020,102:107249.
[4] AMINI B,IBRAHIM R,OTHMAN M S,et al.Collecting scholars’ background knowledge for profiling[M]//New trends in software methodologies,tools and techniques.[S.l.]:IOS Press,2014:1058-1072.
[5] LI W,JIA Y,DU J.Distributed filtering for discrete-time linear systems with fading measurements and time-correlated noise[J].Digital Signal Processing,2017,60:211-219.
[6] XUE Z,DU J,DU D,et al.Deep low-rank subspace ensemble for multi-view clustering[J].Information Sciences,2019,482:210-227.
[7] HU W,GAO J,LI B,et al.Anomaly detection using local kernel density estimation and context-based regression[J].IEEE Transactions on Knowledge and Data Engineering,2018,32(2):218-233.
[8] XUE Z,DU J,ZHENG C,et al.Clustering-induced adaptive structure enhancing network for incomplete multi-view data[C]//Proceedings of the 13th International Joint Conference on Artificial Intelligence,2021:3235-3241.
[9] XU L,DU J,LI Q.Image fusion based on nonsubsampled contourlet transform and saliency-motivated pulse coupled neural networks[J].Mathematical Problems in Engineering,2013(7):135182.
[10] CUI W,DU J,WANG D,et al.MVGAN:multi-view graph attention network for social event detection[J].ACM Transactions on Intelligent Systems and Technology(TIST),2021,12(3):1-24.
[11] CUI H,XUE Z,DU J,et al.A novel topic extraction model for science and technology demand data[C]//2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems(CCIS),2021:444-448.
[12] TANG J,ZHANG J,ZHANG D,et al.ArnetMiner:an expertise oriented search system for web community[C]//Proceedings of the 2007 International Conference on Semantic Web Challenge,Busan,Korea.New York,NY:ACM,2007,1-8.
[13] SUGIYAMA K,KAN M Y.Scholarly paper recommendation via user’s recent research interests[C]//Proceedings of the 10th Annual Joint Conference on Digital Libraries,Gold Coast Queensland,Australia.New York,NY:ACM,2010,29-38.
[14] PENG G,WANG Y.Dynamic analysis of authors’ research interests in disciplinary field life cycle[J].Library and Information Service,2016,60(19):116.
[15] DAUD A.Using time topic modeling for semantics-based dynamic research interest finding[J].Knowledge-Based Systems,2012,26:154-163.
[16] NISHIZAWA H,KATSURAI M,OHMUKAI I,et al.Measuring researcher relatedness with changes in their research interests[C]//2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA ASC),2018:149-152.
[17] KONG X,JIANG H,BEKELE T M,et al.Random walk-based beneficial collaborators recommendation exploiting dynamic research interests and academic influence[C]//Proceedings of the 26th International Conference on World Wide Web Companion,2017:1371-1377.
[18] LI W,JIA Y,DU J.Variance-constrained state estimation for nonlinearly coupled complex networks[J].IEEE Transactions on Cybernetics,2017,48(2):818-824.
[19] MAKAROV I,GERASIMOVA O,SULIMOV P,et al.Dual network embedding for representing research interests in the link prediction problem on co-authorship networks[J].PeerJ Computer Science,2019,5:e172.
[20] MARUJO L,VIVEIROS M,NETO J P S.Keyphrase cloud generation of broadcast news[J].arXiv:1306.4606,2013.
[21] YING X,SUN J.Model of dynamic user-interest knowledge space based on knowledge service[J].Journal of the China Society for Scientific and Technical Information,2017,36(2):206-212.
[22] ZHANG Y,TUO M,YIN Q,et al.Keywords extraction with deep neural network model[J].Neurocomputing,2020,383:113-121.
[23] CAMPOS R,MANGARAVITE V,PASQUALI A,et al.YAKE! Keyword extraction from single documents using multiple local features[J].Information Sciences,2020,509:257-289.
[24] WITTEN I H,PAYNTER G W,FRANK E,et al.Kea:practical automated keyphrase extraction[M]//Design and usability of digital libraries:case studies in the Asia pacific.IGI global,2005:129-152.
[25] STERCKX L,DEMEESTER T,DELEU J,et al.Topical word importance for fast keyphrase extraction[C]//Proceedings of the 24th International Conference on World Wide Web,2015:121-122.
[26] MIHALCEA R,TARAU P.Textrank:bringing order into text[C]//Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing,2004:404-411.
[27] MARUJO L,VIVEIROS M,NETO J P S.Keyphrase cloud generation of broadcast news[J].arXiv:1306.4606,2013.
[28] MEDELYAN O,FRANK E,WITTEN I H.Human-competitive tagging using automatic keyphrase extraction[C]//Association for Computational Linguistics,2009.
[29] SCHUTZ A T.Keyphrase extraction from single documents in the open domain exploiting linguistic and statistical methods[D].Galway:National University of Ireland,2008.
[30] MEDELYAN O,WITTEN I H,MILNE D.Topic indexing with Wikipedia[C]//Proceedings of the AAAI WikiAI Workshop,2008:19-24.