1 |
Syed, S., & Spruit, M. (2017, October 19-21). Full-text or abstract? Examining topic coherence scores using Latent Dirichlet allocation. In T. Kamishima (Ed.), Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) (pp. 165-174). IEEE. https://doi.org/10.1109/DSAA.2017.61.
DOI
|
2 |
Van Noorden, R. (2014). Online collaboration: Scientists and the social network. Nature, 512(7513), 126-129. https://doi.org/10.1038/512126a.
DOI
|
3 |
Weingart, S. (2012). Topic modeling for humanists: A guided tour. http://www.scottbot.net/HIAL/index.html@p=19113.html.
|
4 |
Song, M. (2017). Text mining. Chung Ram.
|
5 |
Zuccala, A. (2006). Modeling the invisible college. Journal of the American Society for Information Science and Technology, 57(2), 152-168. https://doi.org/10.1002/asi.20256.
DOI
|
6 |
Klain-Gabbay, L., & Shoham, S. (2018). Scholarly communication and the academic library: Perceptions and recent developments. https://www.intechopen.com/books/a-complex-systems-perspective-of-communication-from-cells-to-societies/scholarly-communication-and-the-academic-library-perceptions-and-recent-developments.
|
7 |
De Solla Price, D. J. (1963). Little science, big science. Columbia University Press.
|
8 |
European Commission. (2019). Future of scholarly publishing and scholarly communication: Report of the Expert Group to the European Commission. Publications Office of the European Union.
|
9 |
Feldman, R., & Sanger, J. (2006). The text mining handbook: Advanced approaches in analyzing unstructured data. Cambridge University Press.
|
10 |
Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on big data in marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1-7. https://doi.org/10.1016/j.iedeen.2017.06.002.
DOI
|
11 |
Barjak, F. (2006). The role of the Internet in informal scholarly communication. Journal of the American Society for Information Science and Technology, 57(10), 1350-1367. https://doi.org/10.1002/asi.20454.
DOI
|
12 |
Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. https://doi.org/10.1145/2133806.2133826.
DOI
|
13 |
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022 .
|
14 |
Cha, M. K., Song, K. J., & Kim, M. K., (2017). A study on improving laws and regulations for open access of research papers from national research and development projects. Journal of the Korean Society for Library and Information Science, 51(1), 147-174. https://doi.org/10.4275/KSLIS.2017.51.1.147.
DOI
|
15 |
Choi, S. Y., & Ko, E. J. (2019). Analysis of from 1960 to 2018 using metadata with dynamic topic modeling. Korean Journal of Journalism & Communication Studies, 63(4), 7-42. https://doi.org/10.20879/kjjcs.2019.63.4.001.
DOI
|
16 |
Lee, J. Y. (2006c). Centrality measures for bibliometric network analysis. Journal of the Korean Society for Library and Information Science, 40(3), 191-214. https://doi.org/10.4275/KSLIS.2006.40.3.191.
DOI
|
17 |
Lancaster, F. W. (1995). The evolution of electronic publishing. Library Trends, 43(4), 518-527. https://www.ideals.illinois.edu/bitstream/handle/2142/7981/librarytrendsv43i4c_opt.pdf.
|
18 |
Garvey, W. D. (1979). Communication: The essence of science - facilitating information exchange among librarians, scientists, engineers and students. Pergamon.
|
19 |
Jin, S. A., & Song, M. (2016). Topic Modeling based Interdisciplinarity Measurement in the Informatics Related Journals. Journal of the Korean Society for information Management, 16(33), 7-32. https://doi.org/10.3743/KOSIM.2016.33.1.007.
DOI
|
20 |
Keshner, E. A., Weiss, P. T., Geifman, D., & Raban, D. (2019). Tracking the evolution of virtual reality applications to rehabilitation as a field of study. Journal of Neuroengineering and Rehabilitation, 16(1), 76. https://doi.org/10.1186/s12984-019-0552-6.
DOI
|
21 |
Lee, J. Y. (2006a). A study on the network generation methods for examining the intellectual structure of knowledge domains. Journal of the Korean Society for Library and Information Science, 40(2), 333-355. https://doi.org/10.4275/KSLIS.2006.40.2.333.
DOI
|
22 |
Lee, J. Y. (2006b). A novel clustering method for examining and analyzing the intellectual structure of a scholarly field. Journal of the Korean Society for Information Management, 23(4), 215-231. https://doi.org/10.3743/KOSIM.2006.23.4.215.
DOI
|
23 |
Mukherjee, B. (2009). Scholarly communication: A journey from print to web. Library Philosophy and Practice, 285.
|
24 |
Lee, J. Y. (2013). A comparison study on the weighted network centrality measures of tnet and WNET. Journal of the Korean Society for Information Management, 30(4), 241-264. https://doi.org/10.3743/KOSIM.2013.30.4.241.
DOI
|
25 |
Lee, J. Y. (2014). WNET (Version 0.4) [Computer software].
|
26 |
Lee, S. S. (2012). Network analysis methods. Nonhyoung.
|
27 |
Schvaneveldt, R. W. (Ed.). (1990). Pathfinder associative networks: Studies in knowledge organization. Ablex.
|
28 |
Newman D., Lau, J. H., Grieser, K., & Baldwin, T. (2010, June 2-4). Automatic evaluation of topic coherence. In R. M. Kaplan (Ed.), Proceedings of the HLT '10: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics (pp. 100-108). Association for Computational Linguistics.
|
29 |
Park, J. H., & Oh, H. J. (2017). Comparison of topic modeling methods for analyzing research trends of archives management in Korea: Focused on LDA and HDP. Journal of Korean Library and Information Science Society, 48(4), 235-258. https://doi.org/10.16981/kliss.48.201712.235.
DOI
|
30 |
Park, J. H., & Song, M. (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for information Management, 30(1), 7-32. https://doi.org/10.3743/KOSIM.2013.30.1.007.
DOI
|