[1] STEYVERS M,SMYTH P,ROSEN-ZVI M,et al.Probabilistic author-topic models for information discovery[C]//The tenth ACM SIGKDD international conference on knowledge discovery and data mining.Seattle,Washington:ACM,2004:306-315.
[2] 骆国靖.基于主题模型的模块化网络和社区挖掘研究[D].杭州:浙江大学,2008.
[3] TANG J,ZHANG J,YAO L,et al.ArnetMiner:extraction and mining of academic social networks[C]//ACM SIGKDD international conference on knowledge discovery and data mining.Henderson:ACM,2008:990-998.
[4] 王燕鹏.国内基于主题模型的科技文献主题发现及演化研究进展[J].图书情报工作,2016,60(3):130-137.
[5] 吴良,黄威靖,陈薇,等.ACT-LDA:集成话题、社区和影响力分析的概率模型[J].计算机科学与探索,2013,7(8):718-728.
[6] WANG T,HUANG Z,GAN C.On mining latent topics from healthcare chat logs[J].Journal of biomedical informatics,2016,61(C):247-259.
[7] MORCHID M,BOUAZIZ M,KHEDER W B,et al.Spoken language understanding in a latent topic-based subspace[C]//International symposium on computer architecture.San Francisco:Springer,2016:710-714.
[8] LEE M,HUANG R,TONG W.Discovery of transcriptional targets regulated by nuclear receptors using a probabilistic graphical model[J].Toxicological sciences,2016,150(1):64-73.
[9] XUAN J,LU J,ZHANG G,et al.Infinite author topic model based on mixed gamma-negative binomial process[C]//IEEE international conference on data mining.Atlantic City:IEEE,2016:489-498.
[10] 陈霄咚.生物医学领域的专家寻找研究[D].上海:复旦大学,2013.
[11] NEWMAN D,KARIMI S,CAVEDON L.Using topic models to interpret medline's medical subject headings[C]//Australasian joint conference on advances in artificial intelligence.Berlin,Heidelberg:Springer,2009:270-279.
[12] CHAIWANAROM P,ICHISE R,LURSINSAP C.Finding potential research collaborators in four degrees of separation[C]//Advanced data mining and applications,international conference,ADMA 2010.Chongqing:DBLP,2010:399-410.
[13] ICHISE R,FUJITA S,MURAKI T,et al.Research mining using the relationships among authors,topics and papers[C]//International conference information visualization.Zurich:IEEE Computer Society,2007:425-430.
[14] MOU H,GENG Q,JIN J,et al.An author subject topic model for expert recommendation[M]//Information retrieval technology.Cham:Springer International Publishing,2015:83-95.
[15] 薛维.基于非对称先验的作者主题模型[D].杭州:浙江大学,2011.
[16] KIM J,KIM D,OH A.Joint modeling of topics,citations,and topical authority in academic corpora[J].Transactions of the Association for Computational Linguistics,2017,5(8):191-204.
[17] MAO J,CAO Y,LU K,et al.Topic scientific community in science:a combined perspective of scientific collaboration and topics[J].Scientometrics,2017,112(2):851-875.
[18] 吴钟刚,吕钊.一种基于局部相似性的社区发现算法[J].计算机工程,2016,42(12):196-203.
[19] 关鹏,王曰芬.学科领域生命周期中作者研究兴趣演化分析[J].图书情报工作,2016,60(19):116-124.
[20] JEONG Y S,LEE S H,GWEON G.Discovery of research interests of authors over time using a topic model[C]//International conference on big data and smart computing.New York:IEEE Computer Society,2016:24-31.
[21] FENG S,CAO J,CHEN Y,et al.A model for discovering unpopular research interests[C]//International conference on knowledge science,engineering and management.Cham:Springer,2015:382-393.
[22] KUZNETSOV A,KYPRIANOU A E,PARDO J C.Analyzing topics and authors in chat logs for crime investigation[J].Knowledge&information systems,2014,39(2):351-381.
[23] CHEN C,REN J.Forum Latent Dirichlet Allocation for user interest discovery[J].Knowledge-based systems,2017,126(C):1-7.
[24] LIU S N,LIU C,PENG Z,et al.Mining individual learning topics in course reviews based on author topic model[J].International journal of distance education technologies,2017,15(3):1-14.
[25] YANG T,COMAR P M,XU L.Community detection by popularity based models for authored networked data[C]//IEEE/ACM international conference on advances in social networks analysis and mining.New York:IEEE,2013:74-81.
[26] MORCHID M,PORTILLA Y,JOSSELIN D,et al.An author-topic based approach to cluster tweets and mine their location[J].Procedia environmental sciences,2015,27(7):26-29.
[27] MUKHERJEE S,BASU G,JOSHI S.Joint author sentiment topic model[C]//Computer security applications conference.New York:IEEE,2014:90-98.
[28] 李春山.面向社会化媒体内容的若干聚类算法研究[D].哈尔滨:哈尔滨工业大学,2014.
[29] 范长俊.基于信息交互网络的个体角色识别方法研究[D].长沙:国防科学技术大学,2015.
[30] 罗杰斯.结合用户及地理信息的图像主题建模[D].杭州:浙江大学,2012.
[31] CHENG K,ZHAN Y,QI M.AL-DDCNN:a distributed crossing semantic gap learning for person re-identification[J].Concurrency&computation practice&experience,2017,29(3):1-16.
[32] MORCHID M,DUFOUR R,BOUALLEGUE M,et al.Author-topic based representation of call-center conversations[C]//Spoken language technology workshop.New York:IEEE,2014:218-223.
[33] MORCHID M,DUFOUR R,LINARōS G,et al.Latent topic model based representations for a robust theme identification of highly imperfect automatic transcriptions[J].Lecture notes in computer science,2015,9042(2):596-605.
[34] LUO W,LI H,LIU G,et al.Semantic annotation of satellite images using author-genre-topic model[J].IEEE transactions on geoscience&remote sensing,2013,52(2):1356-1368.
[35] ZHU X D,YAO Y,LIU Z J,et al.Activity clustering for online anomaly detection[J].Journal of computers,2011,6(6):441-453.
[36] 史庆伟,乔晓东,徐硕,等.作者主题演化模型及其在研究兴趣演化分析中的应用[J].情报学报,2013,32(9):912-919.
[37] 刘智超,卢美莲.基于混合模型的学术论文推荐方法[EB/OL].[2019-01-18].http://www.paper.edu.cn/releasepaper/content/201411-282.
[38] WANG J,HU X,TU X,et al.Author-conference topic-connection model for academic network search[C]//ACM international conference on information and knowledge management.New York:ACM,2012:2179-2183.
[39] HA J K,AN J Y,YOO K J,et al.Exploring the leading authors and journals in major topics by citation sentences and topic modeling[C]//BIRNDL 2016 joint workshop on bibliometric-enhanced information retrieval and NLP for digital libraries.New York:ACM,2016:42-50.
[40] 李杰,王小伟.基于作者主题模型的遥感图像自动类别标注方法[J].计算机应用与软件,2013,26(10):263-265.
[41] LUO W,LI H,LIU G,et al.Global salient information maximization for saliency detection[J].Signal processing image communication,2012,27(3):238-248.
[42] LUO W,LI H,LIU G.Automatic annotation of multispectral satellite images using author-topic model[J].IEEE geoscience&remote sensing letters,2012,9(4):634-638.
[43] BERTOLERO M A,YEO B T,D'ESPOSITO M.The modular and integrative functional architecture of the human brain[J].Proceedings of the National Academy of Sciences of the United States of America,2015,112(49):798-807.
[44] 王永贵,张旭,任俊阳,等.结合微博关注特性的UF_AT模型用户兴趣挖掘研究[J].计算机应用研究,2015,32(7):1982-1985.
[45] 王永贵,张丰田,刘雨诗,等.微博中结合转发特性的用户兴趣话题挖掘方法[J].计算机应用研究,2017,34(7):2068-2071.
[46] 李敬,印鉴,刘少鹏,等.基于话题标签的微博主题挖掘[J].计算机工程,2015,41(4):30-35.
[47] 王萍.网络环境下的领域知识挖掘[D].上海:华东师范大学,2010.
[48] ZHONG Y,FAN Y,TAN W,et al.Web service recommendation with reconstructed profile from mashup descriptions[J].IEEE transactions on automation science&engineering,2016,15(2):468-478.
[49] TANG J,ZHANG J.Modeling the evolution of associated data[J].Data&knowledge engineering,2010,69(9):965-978.
[50] YANG M,MEI J,XU F,et al.Discovering author interest evolution in topic modeling[J].2016,21(7):801-804.
[51] ZHOU X,SHUNXIANG W U,ZHOU X,et al.The biterm author topic in the sentences model for e-mail analysis[J].IEICE transactions on information&systems,2017,100(8):1852-1859.
[52] MCCALLUM A,WANG X,CORRADA-EMMANUEL A.Topic and role discovery in social networks with experiments on enron and academic email[J].Journal of artificial intelligence research,2010,30(2):249-272.
[53] KANG I S,NA S H,LEE S,et al.On co-authorship for author disambiguation[J].Information processing&management an international journal,2009,45(1):84-97.
[54] ZHANG R,SHEN D,KOU Y,et al.Author name disambiguation for citations on the deep web[J].Lecture notes in computer science,2010,6185(10):198-209.
[55] 郑威杰.科技文献作者消歧方法研究[D].杭州:杭州电子科技大学,2017.
[56] 陈永恒,左万利,林耀进.作者标签主题模型在科技文献中的应用[J].计算机应用,2015,35(4):1001-1005.
[57] LI C S,YE Y M,ZHANG X F.TPS:an unsupervised web page segmentation algorithm based on DOM tree structure mining[J].Information,2012,1(15):387-394.
[58] 桂小庆,张俊,张晓民,等.时态主题模型方法及应用研究综述[J].计算机科学,2017,44(2):46-55.
[59] DUFOUR R,MORCHID M,PARCOLLET T.Tracking dialog states using an Author-Topic based representation[C]//Spoken language technology workshop.New York:IEEE,2017:544-551.
[60] LI D C,OKAMOTO J,LEISCHOW S,et al.An author topic analysis of tobacco regulation investigators[C]//Pacific-Asia conference on knowledge discovery and data mining.Cham:Springer,2014:616-627.
[61] 亓晓青,景晓军.应用于微博的LDA模型改进[EB/OL].[2019-01-18].http://www.paper.edu.cn/releasepaper/content/201212-118.
[62] 孙国超,徐硕,乔晓东.AToT模型可视化工具开发[J].情报工程,2016,2(4):20-29.
[63] XU S,SHI Q,QIAO X,et al.A dynamic users'interest discovery model with distributed inference algorithm[J].International journal of distributed sensor networks,2014,2014(1):1-11.
[64] HO T,DO P.Analyzing users'interests with the temporal factor based on topic modeling[C]//Asian conference on intelligent information and database systems.Cham:Springer International Publishing,2015:105-115.
[65] WANG X,MCCALLUM A.Topics over time:a non-Markov continuous-time model of topical trends[C]//ACM SIGKDD international conference on knowledge discovery and data mining.New York:ACM,2006:424-433.
[66] 杨如意.基于主题模型的文本语义挖掘[D].西安:西安电子科技大学,2015.
[67] 杨如意,刘东苏,李慧.一种融合外部特征的改进主题模型[J].现代图书情报技术,2016,32(1):48-54.
[68] 余传明,左宇恒,郭亚静,等.基于复合主题演化模型的作者研究兴趣动态发现[EB/OL].[2018-05-26].http://kns.cnki.net/kcms/detail/37.1389.N.20180419.1330.002.html.
[69] LI C S,CHEUNG W K,YE Y,et al.The Author-Topic-Community model:a generative model relating authors'interests and their community structure[C]//International conference on advanced data mining and applications.Berlin:Springer,2012:753-765.
[70] LI C,CHEUNG W K,YE Y,et al.The Author-Topic-Community model for author interest profiling and community discovery[J].Knowledge&information systems,2015,44(2):359-383.
[71] YAN E,DING Y,MILOJEVIC S,et al.Topics in dynamic research communities:an exploratory study for the field of information retrieval[J].Journal of informetrics,2012,6(1):140-153.
[72] DING Y.Topic-based PageRank on author cocitation networks[J].Journal of the American Society for Information Science and Technology.2011,62(3):449-466.
[73] YANG J,ZENG J,CHEUNG W K.Multiplex Topic Models[C]//Pacific-Asia conference on knowledge discovery and data mining.Berlin Heidelberg:Springer,2013:568-582.
[74] 江雨燕,李平,王清,等.融合DSTM和USTM方法的主题模型[J].计算机科学与探索,2014,8(5):630-639.
[75] YANG Z,HONG L,DAVISON B D.Academic network analysis:a joint topic modeling approach[C]//IEEE/ACM international conference on advances in social networks analysis and mining.New York:IEEE,2014:324-333.
[76] MCCALLUM A,CORRADA-EMMANUEL A,WANG X.Topic and role discovery in social networks[J].IJCAI,2005,30(2):786-791.
[77] NAVEED N,SIZOV S,STAAB S.ATT:analyzing temporal dynamics of topics and authors in social media[C]//Proceedings of the 3rd international web science conference.New York:ACM,2011:1-7.
[78] YANG Q Q,LI W J.The LDA Topic Model Extension Study[J].Logistics engineering,management and computer science,2015,169(15):857-860.
[79] PODDAR L,HSU W,LEE M L.Author-aware aspect topic sentiment model to retrieve supporting opinions from reviews[C]//Conference on empirical methods in natural language processing.Berlin Heidelberg:Springer,2017:472-481.
[80] 万路康,章倩雯,谢瑾奎.社会网络下的基于主题概率的影响从众性模型和分析[J].小型微型计算机系统,2017,38(2):277-281.
[81] SCHNEIDER K M.Weighted average pointwise mutual information for feature selection in text categorization[M]//Knowledge discovery in databases:PKDD 2005.Berlin Heidelberg:Springer,2005:252-263.
[82] WALLACH H M,MURRAY I,SALAKHUTDINOV R,et al.Evaluation methods for topic models[C]//International conference on machine learning.New York:ACM,2009:1105-1112.
[83] BUNTINE W.Estimating likelihoods for topic models[M].Advances in machine learning.Berlin Heidelberg:Springer,2009:51-64.
[84] XIE X,LI L,ZHANG Z,et al.Back-buy prediction based on TriFG[C]//ACM SIGKDD workshop on mining data semantics.New York:ACM,2012:1-8.
[85] ZHANG T,LUO W.Image quality assessment using author topic model[C]//International Conference on Information Technology&Applications.New York:IEEE,2013:63-65.
[86] XU Z,RU L,XIANG L,et al.Discovering user interest on twitter with a modified author-topic model[C]//IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology.New York:IEEE,2011:422-429.
[87] 余攀.基于话题模型的教育领域微博账号萃取[D].武汉:华中师范大学,2017.
[88] 何力,贾焰,韩伟红,等.基于用户主题模型的微博用户兴趣挖掘[J].中国通信,2014,11(8):131-144.
[89] 禤良.基于主题模型的企业微博推荐方法研究与实现[D].合肥:安徽大学,2016.
[90] TU Y,JOHRI N,DAN R,et al.Citation author topic model in expert search[C]//International conference on computational linguistics:Posters.New York:ACM,2010:1265-1273.
[91] KATARIA S,MITRA P,CARAGEA C,et al.Context sensitive topic models for author influence in document networks[C]//International joint conference on artificial intelligence.California:AAAI,2011:2274-2280.
[92] YAN L,NICULESCU-MIZIL A,GRYC W.Topic-link LDA:joint models of topic and author community[C]//International conference on machine learning.New York:ACM,2009:665-672.