ellibsЭлектронные библиотекиRussian Digital Libraries Journal1562-5419Казанский (Приволжский) федеральный университетellibs-69Research ArticleСтатьиЭволюция методов визуализации коллекций научных публикацийEvolution of visualization methods for research publication collectionsАпановичЗ. В.apanovich@iis.nsk.suИнститут систем информатики им. А.П. Ершова Сибирского отделения Российской академии наукRussian Federation201828022018211242Copyright © Апанович З.В., 20182018Апанович З.В.Апанович З.В.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ellibs.elpub.ru/jour/article/view/69

Методы визуализации информации давно зарекомендовали себя как инструмент, позволяющий понимать данные большого объема. Визуализация коллекций научных публикаций является частным случаем визуализации информации. В статье рассмотрены задачи, решаемые при помощи визуализации, модели и методы анализа текстовой информации, а также новые подходы к визуализации документов. Особое внимание уделено тому, каким образом методы визуализации связаны с методами анализа коллекций научных публикаций.

The information visualization methods have been known as a tool providing the understanding of large data. The visualization of research publication collections is a special case of applying visualization methods to large data. This paper presents a survey of problems solved by means of visualization, document models and document analysis methods as well as of new approaches to visualization methods for research publication collections. Special attention is paid to the relation between the document analysis and visualization methods.

визуализация коллекций документованализ текстовалгоритмы визуализации текстов и метаданныхLDANMFword2vecReferencesGarfield E. Historiographic Mapping of Knowledge Domains Literature// J. Inform. Sci. 2004. V. 30, No. 2. P. 119–145.Garfield E. Historiographic Mapping of Knowledge Domains Literature// J. Inform. Sci. 2004. V. 30, No. 2. P. 119–145.Apanovich Z.V. Problems of Visualization of Citation Networks for Large-Science-Portals //ROMAI J. 2012. V. 8, No. 2. P. 13–26.Apanovich Z.V. Problems of Visualization of Citation Networks for Large-Science-Portals //ROMAI J. 2012. V. 8, No. 2. P. 13–26.Small H. Visualizing Science by Citation Mapping// J. Amer. Soc. Inform. Sci. 1999. V. 50, No. 9. P. 799–813.Small H. Visualizing Science by Citation Mapping// J. Amer. Soc. Inform. Sci. 1999. V. 50, No. 9. P. 799–813.Henry N., Fekete J.-D., Mcguffin M. Nodetrix: A Hybrid Visualization of Social Networks // IEEE Trans. Vis. Comput. Graphics. 2007. V. 13, No. 6. P. 1302–1309.Henry N., Fekete J.-D., Mcguffin M. Nodetrix: A Hybrid Visualization of Social Networks // IEEE Trans. Vis. Comput. Graphics. 2007. V. 13, No. 6. P. 1302–1309.Gan Q., Zhu M., Li M., Liang T., Cao Y., Zhou B. Document Visualization: An Overview of Current Research// Wiley Interdisciplinary Reviews: Computational Statistics. 2014. V. 6, No. 1. P. 19–36.Gan Q., Zhu M., Li M., Liang T., Cao Y., Zhou B. Document Visualization: An Overview of Current Research// Wiley Interdisciplinary Reviews: Computational Statistics. 2014. V. 6, No. 1. P. 19–36.Apanovich Z.V., Vinokurov P.S., Elagin V. A. An Approach to visualization of knowledge portal content // Bulletin of the Novosibirsk Computing Center. Series: Computer Science. 2009. Т. 29. P. 17-32.Apanovich Z.V., Vinokurov P.S., Elagin V. A. An Approach to visualization of knowledge portal content // Bulletin of the Novosibirsk Computing Center. Series: Computer Science. 2009. Т. 29. P. 17-32.Strobelt H, Oelke D, Rohrdantz C, Stoffel A, Keim D.A., Deussen O. Document Cards: A Top Trumps Visualization for Dcuments// IEEE Trans Vis Comput Graph. 2009. V. 15. P. 1145–1152.Strobelt H, Oelke D, Rohrdantz C, Stoffel A, Keim D.A., Deussen O. Document Cards: A Top Trumps Visualization for Dcuments// IEEE Trans Vis Comput Graph. 2009. V. 15. P. 1145–1152.Schulz H.-J. Treevis.net: A Tree Visualization Reference // IEEE Computer Graphics and Applications. 2011. V. 31, No. 6. P. 11–15.Schulz H.-J. Treevis.net: A Tree Visualization Reference // IEEE Computer Graphics and Applications. 2011. V. 31, No. 6. P. 11–15.Aigner W., Miksch S., Schumann H., Tominski C. Visualization of Time-Oriented Data. Springer, 2011. 286 p.Aigner W., Miksch S., Schumann H., Tominski C. Visualization of Time-Oriented Data. Springer, 2011. 286 p.Kucher K., Kerren A. Text Visualization Techniques: Taxonomy, Visual Survey, and Community Insights // Proc. of the 8th IEEE PacificVis. 2015. P. 117–121.Kucher K., Kerren A. Text Visualization Techniques: Taxonomy, Visual Survey, and Community Insights // Proc. of the 8th IEEE PacificVis. 2015. P. 117–121.Beck F., Koch S., Weiskopf D. Visual analysis and Dissemination of Scientific Literature Collections with SurVis // IEEE Trans.Vis. Comput. Graphics. 2016. V. 22, No. 1. P. 180–189.Beck F., Koch S., Weiskopf D. Visual analysis and Dissemination of Scientific Literature Collections with SurVis // IEEE Trans.Vis. Comput. Graphics. 2016. V. 22, No. 1. P. 180–189.Hofmann T. Probabilistic Latent Semantic Indexing // Proc. the ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR). 1999. P. 50–57.Hofmann T. Probabilistic Latent Semantic Indexing // Proc. the ACM SIGIR Conf. on Research and Development in Information Retrieval (SIGIR). 1999. P. 50–57.Blei D.M. Probabilistic Topic Models// Communications of the ACM. 2012. V. 55, No. 4. P. 77–84.Blei D.M. Probabilistic Topic Models// Communications of the ACM. 2012. V. 55, No. 4. P. 77–84.Alexander E., Kohlmann J., Valenza R., Gleicher M. Serendip: Turning Topics Back to the Text // 2013 IEEE Visualization Poster Proc. (InfoVis ’13).Alexander E., Kohlmann J., Valenza R., Gleicher M. Serendip: Turning Topics Back to the Text // 2013 IEEE Visualization Poster Proc. (InfoVis ’13).Chuang J., Manning C.D., Heer J. 2012. Termite: Visualization Techniques for Assessing Textual Topic Models// Proc. of the Int. Working Conf. on Advanced Visual Interfaces. ACM, 2012. P. 74–77.Chuang J., Manning C.D., Heer J. 2012. Termite: Visualization Techniques for Assessing Textual Topic Models// Proc. of the Int. Working Conf. on Advanced Visual Interfaces. ACM, 2012. P. 74–77.Chaney A.J.-B., Blei D.M. Visualizing Topic Models // Int. AAAI Conf. on Social Media and Weblogs, 2012. P. 419–422.Chaney A.J.-B., Blei D.M. Visualizing Topic Models // Int. AAAI Conf. on Social Media and Weblogs, 2012. P. 419–422.Lee H., Kihm J., Choo J., Stasko J., Park H. iVisClustering: An Interactive Visual Document Clustering Via Topic Modeling// Computer Graphics Forum (CGF). 2012. V. 31. P. 1155–1164.Lee H., Kihm J., Choo J., Stasko J., Park H. iVisClustering: An Interactive Visual Document Clustering Via Topic Modeling// Computer Graphics Forum (CGF). 2012. V. 31. P. 1155–1164.Dou W., Wang X., Chang R., Ribarsky W. ParallelTopics: A Probabilistic Approach to Exploring Document Collections // Proc. of IEEE Conf. on Visual Analytics Science and Technology. 2011. P. 231–240.Dou W., Wang X., Chang R., Ribarsky W. ParallelTopics: A Probabilistic Approach to Exploring Document Collections // Proc. of IEEE Conf. on Visual Analytics Science and Technology. 2011. P. 231–240.Blundell C., Teh Y.W., Heller K.A. Bayesian Rose Trees // Proc. Int. Conf. Uncertainty Artif. Intell. 2010. P. 65–72.Blundell C., Teh Y.W., Heller K.A. Bayesian Rose Trees // Proc. Int. Conf. Uncertainty Artif. Intell. 2010. P. 65–72.Liu S., Wang X., Chen J., Zhu J., Guo B. TopicPanorama: A Full Picture of Relevant Topics // Proc. of the IEEE Conf. on Visual Analytics Science and Technology (VAST). 2014. P. 183–192.Liu S., Wang X., Chen J., Zhu J., Guo B. TopicPanorama: A Full Picture of Relevant Topics // Proc. of the IEEE Conf. on Visual Analytics Science and Technology (VAST). 2014. P. 183–192.Weiwei Cui, Shixia Liu, Zhuofeng Wu, Hao Wei. How Hierarchical Topics Evolve in Large Text Corpora // IEEE Trans. Vis. Comput. Graph. 2014. V. 20, No. 12. P. 2281–2290.Weiwei Cui, Shixia Liu, Zhuofeng Wu, Hao Wei. How Hierarchical Topics Evolve in Large Text Corpora // IEEE Trans. Vis. Comput. Graph. 2014. V. 20, No. 12. P. 2281–2290.Kuang D., H. Park. Fast Rank-2 Nonnegative Matrix Factorization for Hierarchical Document Clustering // Proc. the ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD). 2013. P. 739–747.Kuang D., H. Park. Fast Rank-2 Nonnegative Matrix Factorization for Hierarchical Document Clustering // Proc. the ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD). 2013. P. 739–747.Choo J., Lee C., Reddy C.K., Park H. Utopian: User-driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization // IEEE Transactions on Visualization and Computer Graphics. 2013. V. 19, No. 12. P. 1992–2001.Choo J., Lee C., Reddy C.K., Park H. Utopian: User-driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization // IEEE Transactions on Visualization and Computer Graphics. 2013. V. 19, No. 12. P. 1992–2001.Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, Niklas Elmqvist. TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections// IEEE Transactions on Visualization and Computer Graphics. 2017. V. 23, No. 1. P. 151–160.Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, Niklas Elmqvist. TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections// IEEE Transactions on Visualization and Computer Graphics. 2017. V. 23, No. 1. P. 151–160.Mikolov T., Sutskever I., Chen K., Corrado G.S., Dean J. Distributed Rrepresentations of Words and Phrases and Their Compositionality// Advances in Neural Information Processing Systems. 2013. P. 3111–3119.Mikolov T., Sutskever I., Chen K., Corrado G.S., Dean J. Distributed Rrepresentations of Words and Phrases and Their Compositionality// Advances in Neural Information Processing Systems. 2013. P. 3111–3119.Berger M., McDonough K., Seversky Lee M. Cite2vec: Citation-Driven Document Exploration via Word Embeddings // IEEE Transactions on Visualization and Computer Graphics. 2017. V. 23, No. 1. P. 691–700.Berger M., McDonough K., Seversky Lee M. Cite2vec: Citation-Driven Document Exploration via Word Embeddings // IEEE Transactions on Visualization and Computer Graphics. 2017. V. 23, No. 1. P. 691–700.Steyvers M., Griffiths T. Probabilistic Topic Models // Landauer, D McNamara, S. Dennis, and W. Kintsch (eds), Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum. 2007. P. 1–15.Steyvers M., Griffiths T. Probabilistic Topic Models // Landauer, D McNamara, S. Dennis, and W. Kintsch (eds), Latent Semantic Analysis: A Road to Meaning. Laurence Erlbaum. 2007. P. 1–15.Havre S., Hetzler E., Whitney P., Nowel L.l. ThemeRiver: Visualizing Thematic Changes in Large Document Collections // IEEE Transactions on Visualization and Computer Graphics (TVCG). 2002. V. 8, No. 1. P. 9–20.Havre S., Hetzler E., Whitney P., Nowel L.l. ThemeRiver: Visualizing Thematic Changes in Large Document Collections // IEEE Transactions on Visualization and Computer Graphics (TVCG). 2002. V. 8, No. 1. P. 9–20.Wei F., Liu S., Song Y., Pan S., Zhou M.X., Qian W., Shi L., Tan L., Zhang Q. TIARA: A Visual Exploratory Text Analytic System // Proc. the ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD). 2010. P. 153–162.Wei F., Liu S., Song Y., Pan S., Zhou M.X., Qian W., Shi L., Tan L., Zhang Q. TIARA: A Visual Exploratory Text Analytic System // Proc. the ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD). 2010. P. 153–162.Sugiyama K., Tagawa S., Toda M. Methods for Visual Understanding of Hierarchical System Structures // IEEE Transactions on Systems, Man and Cybernetics. 1981. V. 11, No. 2. P. 109–125.Sugiyama K., Tagawa S., Toda M. Methods for Visual Understanding of Hierarchical System Structures // IEEE Transactions on Systems, Man and Cybernetics. 1981. V. 11, No. 2. P. 109–125.Gretarsson B., O’Donovan J., Bostandjiev S., H¨ ollerer T., Asuncion A., Newman D., Smyth P. TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling // ACM Transactions on Intelligent Systems and Technology (TIST). 2012. V. 3, No. 2. P. 1–26.Gretarsson B., O’Donovan J., Bostandjiev S., H¨ ollerer T., Asuncion A., Newman D., Smyth P. TopicNets: Visual Analysis of Large Text Corpora with Topic Modeling // ACM Transactions on Intelligent Systems and Technology (TIST). 2012. V. 3, No. 2. P. 1–26.Chen F., Chiu P., Lim S. Topic Modeling of Document Metadata for Visualizing Collaborations over Time // Proc. of the Int. Conf. on Intelligent User Interfaces (IUI). 2016. P. 108–117.Chen F., Chiu P., Lim S. Topic Modeling of Document Metadata for Visualizing Collaborations over Time // Proc. of the Int. Conf. on Intelligent User Interfaces (IUI). 2016. P. 108–117.Heimerl F., Qi Han, Koch S., Ertl T. CiteRivers: Visual Analytics of Citation Patterns // IEEE Transactions on Visualization and Computer Graphics 1. 2016. V. 22, No. 1. P. 190–199.Heimerl F., Qi Han, Koch S., Ertl T. CiteRivers: Visual Analytics of Citation Patterns // IEEE Transactions on Visualization and Computer Graphics 1. 2016. V. 22, No. 1. P. 190–199.Görg C., Liu Zh., Kihm J., Ch Jaegul, Park H., Stasko J. Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw// IEEE Transactions on Visualization and Computer Graphics. 2013. V. 19, No. 10. P. 1646–1663.Görg C., Liu Zh., Kihm J., Ch Jaegul, Park H., Stasko J. Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw// IEEE Transactions on Visualization and Computer Graphics. 2013. V. 19, No. 10. P. 1646–1663.

The authors declare that there are no conflicts of interest present.