Improvement of the method for scientific publications clustering based on n-gram analysis and fuzzy method for selecting research partners
DOI:
https://doi.org/10.15587/1729-4061.2019.175139Keywords:
clustering, n-gram analysis, scientific research area, citation graph, project groupAbstract
For the problem of formation of project teams, in particular, scientific research project groups, there was proposed the comprehensive method, which consists of the two-stage method for clustering the graph of citation of scientists» publications and the method of fuzzy inference for coordination of experts» opinions on the selection of potential partners and their inclusion in the project group.
The essence of the two-stage method for clustering publications of scientists is clustering the citation graph based on the proximity of abstracts of publications. The distance between publications is calculated based on the determined metrics and approaches of the n-gram analysis. The described method allows identifying the areas research of scientists, which is a necessary component of the rational choice of a partner for the formation of a project team and is the input information for experts who form this group. The next step is the application of the method of fuzzy inference, which is constructed to coordinate opinions of experts on the creation of project teams. This method consists of three stages. At the first stage, fuzzification is performed through the introduction of function of scientist»s belonging to the area of scientific research. The second phase of fuzzy inference is the statement of experts» requirements to candidates for a place in a project group. At the final stage, defuzzification with the use of the method of the weight center takes place. To verify the fuzzy method for identification of research project groups, the organizations-executors for a fundamental scientific research were determined.
Described methods can be used for the problem of formation of scientific research groups and identification the similarities between the fragments of text information based on the n-gram analysis, which is used in the problem of identification of incomplete duplicates between fragments of text information.References
- Šubelj, L., van Eck, N. J., Waltman, L. (2016). Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods. PLOS ONE, 11 (4), e0154404. doi: https://doi.org/10.1371/journal.pone.0154404
- Dhillon, I. S., Guan, Y., Kulis, B. (2007). Weighted Graph Cuts without Eigenvectors A Multilevel Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (11), 1944–1957. doi: https://doi.org/10.1109/tpami.2007.1115
- Waltman, L., van Eck, N. J. (2013). A smart local moving algorithm for large-scale modularity-based community detection. The European Physical Journal B, 86 (11). doi: https://doi.org/10.1140/epjb/e2013-40829-0
- Blondel, V. D., Guillaume, J.-L., Lambiotte, R., Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008 (10), P10008. doi: https://doi.org/10.1088/1742-5468/2008/10/p10008
- Yang, J., Leskovec, J. (2013). Overlapping community detection at scale. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining - WSDM ’13, 587–596. doi: https://doi.org/10.1145/2433396.2433471
- Pons, P., Latapy, M. (2006). Computing Communities in Large Networks Using Random Walks. Journal of Graph Algorithms and Applications, 10 (2), 191–218. doi: https://doi.org/10.7155/jgaa.00124
- Bolelli, L., Ertekin, S., Giles, C. L. (2006). Clustering Scientific Literature Using Sparse Citation Graph Analysis. Knowledge Discovery in Databases: PKDD 2006, 30–41. doi: https://doi.org/10.1007/11871637_8
- Gomaa, W. H., Fahmy, A. A. (2013). A Survey of Text Similarity Approaches. International Journal of Computer Applications, 68 (13), 13–18. doi: https://doi.org/10.5120/11638-7118
- Islam, A., Milios, E., Kešelj, V. (2012). Text Similarity Using Google Tri-grams. Lecture Notes in Computer Science, 312–317. doi: https://doi.org/10.1007/978-3-642-30353-1_29
- Brants, T., Franz, A. (2006). Web 1T 5-gram corpus version 1.1. Technical report. Google Research.
- Kuchansky, A., Andrashko, Y., Biloshchytskyi, A., Danchenko, E., Ilarionov, O., Vatskel, I., Honcharenko, T. (2018). The method for evaluation of educational environment subjects' performance based on the calculation of volumes of msimplexes. Eastern-European Journal of Enterprise Technologies, 2 (4 (92)), 15–25. doi: https://doi.org/10.15587/1729-4061.2018.126287
- Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., Biloshchytska, S., Kuzka, O., Terentyev, О. (2017). Evaluation methods of the results of scientific research activity of scientists based on the analysis of publication citations. Eastern-European Journal of Enterprise Technologies, 3 (2 (87)), 4–10. doi: https://doi.org/10.15587/1729-4061.2017.103651
- Teslia, I., Latysheva, T. (2016). Development of conceptual frameworks of matrix management of project and programme portfolios. Eastern-European Journal of Enterprise Technologies, 1 (3 (79)), 12–18. doi: https://doi.org/10.15587/1729-4061.2016.61153
- Yazici, H. J. (2009). The Role of Project Management Maturity and Organizational Culture in Perceived Performance. Project Management Journal, 40 (3), 14–33. doi: https://doi.org/10.1002/pmj.20121
- Morozov, V., Kalnichenko, O., Liubyma, I. (2017). Managing projects configuration in development distributed information systems. 2017 2nd International Conference on Advanced Information and Communication Technologies (AICT). doi: https://doi.org/10.1109/aiact.2017.8020088
- Su, Z., Poulin, D. (1996). Partnership management within the virtual enterprise in a network. IEMC 96 Proceedings. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies. doi: https://doi.org/10.1109/iemc.1996.547894
- Talluri, S., Baker, R. C. (1996). A quantitative framework for designing efficient business process alliances. IEMC 96 Proceedings. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies. doi: https://doi.org/10.1109/iemc.1996.547896
- XueNing, C., Tso, S. K., Zhang, W. J., Li, Q. (2000). Partners selection for virtual enterprises. Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393). doi: https://doi.org/10.1109/wcica.2000.859940
- Feng, W. D., Chen, J., Zhao, C. J. (2000). Partners selection process and optimization model for virtual corporations based on genetic algorithms. Journal of Tsinghua University (Science and Technology), 40, 120–124.
- Biloshchytskyi, A., Biloshchytska, S., Kuchansky, A., Bielova, O., Andrashko, Y. (2018). Infocommunication system of scientific activity management on the basis of project-vector methodology. 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). doi: https://doi.org/10.1109/tcset.2018.8336186
- Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., Biloshchytska, S., Danchenko, O. (2018). Development of Infocommunication System for Scientific Activity Administration of Educational Environment’s Subjects. 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). doi: https://doi.org/10.1109/infocommst.2018.8632036
- Biloshchytskyi, A., Kuchansky, A., Paliy, S., Biloshchytska, S., Bronin, S., Andrashko, Y. et. al. (2018). Development of technical component of the methodology for projectvector management of educational environments. Eastern-European Journal of Enterprise Technologies, 2 (2 (92)), 4–13. doi: https://doi.org/10.15587/1729-4061.2018.126301
- Mulesa, O., Geche, F. (2016). Designing fuzzy expert methods of numeric evaluation of an object for the problems of forecasting. Eastern-European Journal of Enterprise Technologies, 3 (4 (81)), 37–43. doi: https://doi.org/10.15587/1729-4061.2016.70515
- Kuchansky, A., Biloshchytskyi, A. (2015). Selective pattern matching method for time-series forecasting. Eastern-European Journal of Enterprise Technologies, 6 (4 (78)), 13–18. doi: https://doi.org/10.15587/1729-4061.2015.54812
- Kuchansky, A., Biloshchytskyi, A., Andrashko, Y., Biloshchytska, S., Shabala, Y., Myronov, O. (2018). Development of adaptive combined models for predicting time series based on similarity identification. Eastern-European Journal of Enterprise Technologies, 1 (4 (91)), 32–42. doi: https://doi.org/10.15587/1729-4061.2018.121620
- Mulesa, O., Geche, F., Batyuk, A., Buchok, V. (2017). Development of Combined Information Technology for Time Series Prediction. Advances in Intelligent Systems and Computing, 361–373. doi: https://doi.org/10.1007/978-3-319-70581-1_26
- Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., Biloshchytska, S., Dubnytska, A., Vatskel, V. (2017). The method of the scientific directions potential forecasting in infocommunication systems of an assessment of the research activity results. 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). doi: https://doi.org/10.1109/infocommst.2017.8246352
- Snytyuk, V. E. (2008). Forecasting. Models. Methods. Algorithms. Kyiv: Maklaut, 364.
- Sihombing, D. I., Sitompul, O. S., Sutarman, Nababan, E. (2018). Combining the use of analytical hierarchy process and lexicographic goal programming in selecting project executor. IOP Conference Series: Materials Science and Engineering, 420, 012113. doi: https://doi.org/10.1088/1757-899x/420/1/012113
- Asanov, A., Myshkina, I. (2017). Selection of executors for realization of individual tasks of the project. SHS Web of Conferences, 35, 01026. doi: https://doi.org/10.1051/shsconf/20173501026
- Imangulova, Z., Kolesnyk, L. (2016). An algorithm for building a project team considering interpersonal relations of employees. Eastern-European Journal of Enterprise Technologies, 6 (3 (84)), 19–25. doi: https://doi.org/10.15587/1729-4061.2016.85222
- Baiden, B. K., Price, A. D. F. (2011). The effect of integration on project delivery team effectiveness. International Journal of Project Management, 29 (2), 129–136. doi: https://doi.org/10.1016/j.ijproman.2010.01.016
- Biloshchytskyi, A., Kuchansky, A., Andrashko, Y., Biloshchytska, S., Kuzka, O., Shabala, Y., Lyashchenko, T. (2017). A method for the identification of scientists' research areas based on a cluster analysis of scientific publications. Eastern-European Journal of Enterprise Technologies, 5 (2 (89)), 4–11. doi: https://doi.org/10.15587/1729-4061.2017.112323
- Lizunov, P., Biloshchytskyi, A., Kuchansky, A., Biloshchytska, S., Chala, L. (2016). Detection of near dublicates in tables based on the locality-sensitive hashing method and the nearest neighbor method. Eastern-European Journal of Enterprise Technologies, 6 (4 (84)), 4–10. doi: https://doi.org/10.15587/1729-4061.2016.86243
- Biloshchytskyi, A., Kuchansky, A., Biloshchytska, S., Dubnytska, A. (2017). Conceptual model of automatic system of near duplicates detection in electronic documents. 2017 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM). doi: https://doi.org/10.1109/cadsm.2017.7916155
- Trzeciak, J. (2005). Writing Mathematical Papers in English. A Practical Guide. European Mathematical Society, 51. doi: https://doi.org/10.4171/014
- Islam, A., Inkpen, D. (2008). Semantic text similarity using corpus-based word similarity and string similarity. ACM Transactions on Knowledge Discovery from Data, 2 (2), 1–25. doi: https://doi.org/10.1145/1376815.1376819
- Biloshchytskyi, A., Myronov, O., Reznik, R., Kuchansky, A., Andrashko, Y., Paliy, S., Biloshchytska, S. (2017). A method to evaluate the scientific activity quality of HEIs based on a scientometric subjects presentation model. Eastern-European Journal of Enterprise Technologies, 6 (2 (90)), 16–22. doi: https://doi.org/10.15587/1729-4061.2017.118377
- Ngram Viewer. Available at: https://books.google.com/ngrams
- National corpus of Russian language. Available at: http://www.ruscorpora.ru/new/index.html
- National corpus of Ukrainian language. Available at: http://www.mova.info/corpus.aspx
- Lin, Y., Michel, J.-B., Aiden, E. L., Orwant, J., Brockman, W., Petrov, S. (2012). Syntactic Annotations for the Google Books Ngram Corpus. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 169–174.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Petro Lizunov, Andrii Biloshchytskyi, Alexander Kuchansky, Yurii Andrashko, Svitlana Biloshchytska
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.