An alternative topic model based on Common Interest Authors for topic evolution analysis

Journal of Informetrics - Tập 14 Số 3 - Trang 101040 - 2020
Sukhwan Jung1, Wan Chul Yoon2
1Department of Computer Science, University of South Alabama, 307 N University Blvd, Mobile, AL 36688, United States
2Department of Knowledge Service Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

Tóm tắt

Từ khóa


Tài liệu tham khảo

Allan, 1998

Amancio, 2015, A complex network approach to stylometry, PloS One, 10, 10.1371/journal.pone.0136076

Anjali, M.K. and Babu, A.P. Ambiguities in Natural Language Processing. International Journal of Innovative Research in Computer and Communication Engineering. 392–394.

Ausloos, 2012

Batagelj, 2013, On bibliographic networks, Scientometrics, 96, 845, 10.1007/s11192-012-0940-1

Battistella, 2014, The organization of Corporate Foresight: A multiple case study in the telecommunication industry, Technological Forecasting and Social Change, 87, 60, 10.1016/j.techfore.2013.10.022

Bengio, Y. et al. A Neural Probabilistic Language Model. 19.

Blei, 2006, 113

Blei, 2003, Latent dirichlet allocation, Journal of Machine Learning Research : JMLR, 3, 993

Bongers, 2014, Measuring technological trends: A comparison between U.S. And U.S.S.R./Russian jet fighter aircraft, Technological Forecasting and Social Change, 87, 125, 10.1016/j.techfore.2013.12.007

Börner, 2005, Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams, Complexity, 10, 57, 10.1002/cplx.20078

Callon, 1983, From translations to problematic networks: An introduction to co-word analysis, Information (International Social Science Council), 22, 191, 10.1177/053901883022002003

Castano, 2017, Exploratory analysis of textual data streams, Future Generation Computer Systems, 68, 391, 10.1016/j.future.2016.07.005

Chen, 2017, Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval, Journal of Informetrics, 11, 1175, 10.1016/j.joi.2017.10.003

Chen, 2019, Tensor decomposition for multilayer networks clustering, Proceedings of the AAAI Conference on Artificial Intelligence AAAI Conference on Artificial Intelligence, 33, 3371, 10.1609/aaai.v33i01.33013371

Cook, 1993, Substructure discovery using minimum description length and background knowledge, The Journal of Artificial Intelligence Research, 1, 231

de Arruda, 2016, Topic segmentation via community detection in complex networks, Chaos an Interdisciplinary Journal of Nonlinear Science, 26, 10.1063/1.4954215

Ding, 2011, Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks, Journal of Informetrics, 5, 187, 10.1016/j.joi.2010.10.008

Dong, 2014, Clustering on multi-layer graphs via subspace analysis on Grassmann Manifolds, IEEE Transactions on Signal Processing, 62, 905, 10.1109/TSP.2013.2295553

Dong, 2012, Clustering with multi-layer graphs: A spectral perspective, IEEE Transactions on Signal Processing, 60, 5820, 10.1109/TSP.2012.2212886

Ferrer, 2004, Patterns in syntactic dependency networks, Physical Review E, 69

Fiscus, 2002, 17

Gaul, 2017, Evaluation of the evolution of relationships between topics over time, Advances in Data Analysis and Classification, 11, 159, 10.1007/s11634-016-0241-2

Guo, 2014, A two-level topic model towards knowledge discovery from citation networks, IEEE Transactions on Knowledge and Data Engineering, 26, 780, 10.1109/TKDE.2013.56

He, 2009, 957

Hoffman, 2010, Online learning for latent dirichlet allocation, 23, 856

Hong, 2011, 832

Hopcroft, 2004, Tracking evolving communities in large linked networks, Proceedings of the National Academy of Sciences, 101, 5249, 10.1073/pnas.0307750100

Huan, 2003

Hug, 2017, Citation analysis with microsoft academic, Scientometrics, 111, 371, 10.1007/s11192-017-2247-8

Jiang, 2010, 77

Jo, 2011, 257

Kay, 2014, Patent overlay mapping: Visualizing technological distance, Journal of the Association for Information Science and Technology, 65, 2432, 10.1002/asi.23146

Kessler, 1963, Bibliographic coupling between scientific papers, American Documentation, 14, 10, 10.1002/asi.5090140103

Kim, 2015, Community detection in multi-layer graphs: A survey, SIGMOD Record, 44, 37, 10.1145/2854006.2854013

Kleinberg, 2003, Bursty and hierarchical structure in streams, Data Mining and Knowledge Discovery, 7, 373, 10.1023/A:1024940629314

Levy, O. and Goldberg, Y. Neural Word Embedding as Implicit Matrix Factorization. 9.

Li, 2017, Explore the research front of a specific research theme based on a novel technique of enhanced co-word analysis, Journal of Information Science, 43, 725, 10.1177/0165551516661914

Liu, 2008, Clustering text data streams, Journal of Computer Science and Technology, 23, 112, 10.1007/s11390-008-9115-1

Louppe, 2016, Ethnicity sensitive author disambiguation using semi-supervised learning, Knowledge Engineering and Semantic Web, 272, 10.1007/978-3-319-45880-9_21

Martin, 2011, OpenOrd: An open-source toolbox for large graph layout, Visualization and Data Analysis, 2011

Mei, 2005, 198

Menenberg, 2016, 3509

Mikolov, T. et al. Distributed Representations of Words and Phrases and their Compositionality. 9.

Mikolov, 2013

Mimno, 2011, 262

Mucha, 2010, Community structure in time-dependent, multiscale, and multiplex networks, Science, 328, 876, 10.1126/science.1184819

Newman, 2010, 100

Newman, 2014, Comparing methods to extract technical content for technological intelligence, Journal of Engineering and Technology Management, 32, 97, 10.1016/j.jengtecman.2013.09.001

Papalexakis, 2013, 899

Paul, 2016, Consistent community detection in multi-relational data through restricted multi-layer stochastic blockmodel, Electronic Journal of Statistics, 10, 3807, 10.1214/16-EJS1211

Porter, 1980, An algorithm for suffix stripping, Program, 14, 130, 10.1108/eb046814

Porter, 1995, Technology opportunities analysis, Technological Forecasting and Social Change, 49, 237, 10.1016/0040-1625(95)00022-3

Resnik, 1999, Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language, The Journal of Artificial Intelligence Research, 11, 95, 10.1613/jair.514

Rocklin, 2013, On clustering on graphs with multiple edge types, Internet Mathematics, 9, 82, 10.1080/15427951.2012.678191

Rosen-Zvi, 2004, 487

Rossi, 2012, Transforming graph data for statistical relational learning, The Journal of Artificial Intelligence Research (JAIR), 45

Rudolph, 2018, 1003

Schramm, 2017

Segev, 2009, Adaptive ontology use for crisis knowledge representation, International Journal of Information Systems for Crisis Response Management, 1, 16, 10.4018/jiscrm.2009040102

Segev, 2013, 419

Segev, 2015, Analysis of technology trends based on diverse data sources, IEEE Transactions on Services Computing, 8, 903, 10.1109/TSC.2014.2338855

Shiga, 2012, A variational bayesian framework for clustering with multiple graphs, IEEE Transactions on Knowledge and Data Engineering, 24, 577, 10.1109/TKDE.2010.272

Sidiropoulos, 2017, Tensor decomposition for signal processing and machine learning, IEEE Transactions on Signal Processing, 65, 3551, 10.1109/TSP.2017.2690524

Silva, 2016, Using network science and text analytics to produce surveys in a scientific topic, Journal of Informetrics, 10, 487, 10.1016/j.joi.2016.03.008

Steyvers, 2007, 427

Strotmann, 2012, Author name disambiguation: What difference does it make in author-based citation analysis?, Journal of the American Society for Information Science and Technology, 63, 1820, 10.1002/asi.22695

Tang, 2009, 1016

Torvik, 2009, Author name disambiguation in MEDLINE, ACM Transactions on Knowledge Discovery from Data (TKDD), 3

Wang, 2006, 424

Wang, 2017, Learning latent topics from the word Co-occurrence network, Theoretical Computer Science, 18, 10.1007/978-981-10-6893-5_2

White, 1998, Visualizing a discipline: An author co-citation analysis of information science, 1972–1995, Journal of the American Society for Information Science, 49, 327

Yan, 2012, Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other, Journal of the American Society for Information Science and Technology, 63, 1313, 10.1002/asi.22680

Zhang, 2013, Non-negative Tri-factor tensor decomposition with applications, Knowledge and Information Systems, 34, 243, 10.1007/s10115-011-0460-y

Zhong, 2005, Efficient streaming text clustering, Neural Networks, 18, 790, 10.1016/j.neunet.2005.06.008