A Method of Static and Dynamic Pattern Analysis of Innovative Development of Russian Regions in the Long Run
The term “pattern” refers to a combination of values of some features such that objects with these feature values significantly differ from other objects. This concept is a useful tool for the analysis of behavior of objects in both statics and dynamics. If the panel data describing the functioning of objects in time is available, we can analyze pattern changing behavior of the objects and identify either well adapted to the environment objects or objects with unusual and alarming behavior.In this paper we apply static and dynamic pattern analysis to the analysis of innovative development of the Russian regions in the long run and obtain a classification of regions by the similarity of the internal structure of these indicators and groups of regions carrying out similar strategies.
KeywordsInnovation Activity Innovative Activity Russian Region Innovative Development AIDA System
This work is a part of a project of data analysis of science, education, and innovative activity performed by National Research University Higher School of Economics under the state contract No. 07.514.11.4144 “Development of an experimental sample of statistical analysis of science, education, and innovation software using advanced techniques: pattern analysis and data ontological modeling” with Ministry of Education and Science, code 2012-1.4-07-514-0041.
Authors express their sincere gratitude to the Laboratory of Decision Choice and Analysis NRU HSE (F. Aleskerov, L. Egorova, A. Myachin) and Laboratory of Algorithms and Technologies for Network Analysis NRU HSE, Russian Federation Government Grant N. 11.G34.31.0057 (L. Egorova) for partial financial support. The study was undertaken in the framework of the Program of Fundamental Studies of the Higher School of Economics in 2012–2013.
- 1.Aleksashin, P.G., Aleskerov, F.T., Belousova, V.Yu., Popova, E.S., Solodkov, V.M.: Dynamic Analysis of Russian Banks’ Business Models in 2006–2009 (in Russian). Working paper WP7/2012/03; Moscow: Publishing House of the University “Higher School of Economics” (2012)Google Scholar
- 2.Aleskerov, F., Alper, C.E.: Inflation, Money, and Output Growths: Some Observations. Bogazici University Research Paper, SBE, 96–06 (1996)Google Scholar
- 3.Aleskerov, F., Ersel, H., Gundes, C., Minibas, A., Yolalan, R.: Environmental Grouping of Bank Branches and their Performances. Yapi Kredi Discussion Paper Series, Istanbul, Turkey (1997)Google Scholar
- 4.Aleskerov, F., Ersel, H., Gundes, C., Yolalan, R.: A Multicriterial Method for Personnel Allocation among Bank Branches. Yapi Kredi Discussion Paper Series, Istanbul, Turkey (1998)Google Scholar
- 6.Aleskerov, F.: Patterns of Party Competition in British and Russian General and Finnish Municipal Elections. In: Proceedings of the 4-th International Conference on Operational Research, Moscow (2004a)Google Scholar
- 8.Aleskerov, F.T., Martynova, Y.I., Solodkov, V.M.: Assessment and analysis of the efficiency of banks and banking systems. In: Proceedings of the 2d International Conference “Mathematical Modeling of Social and Economic Dynamic”, (MMSED - 2007), Moscow, 13–15 (2007)Google Scholar
- 9.Aleskerov, F., Nurmi, H.: A method for finding patterns of party support and electoral change: An analysis of British general and finnish municipal elections. Math. Comput. Model. 1225–1253 (2008)Google Scholar
- 10.Aleskerov, F., Gokhberg, L., Egorova, L., Myachin, A., Sagieva, G.: Study of science, education and innovation data using the pattern analysis(in Russian). Working paper WP7/2012/07, Publishing House of the University “Higher School of Economics”, Moscow (2012)Google Scholar
- 11.Aleskerov, F., Belousova, V., Egorova, L., Mirkin, B.: Methods of pattern analysis in statics and dynamics, part 1: Literature review and classification of the term (in Russian). Bus. Informatics 3(25), 3–18 (2013)Google Scholar
- 12.Few, S.: Multivariate Analysis Using Parallel Coordinates http://www.perceptualedge.com/articles/b-eye/parallel_coordinates.pdf. Cited 15 May 2013
- 13.Gokhberg, et al.: Innovative Development Rating of Regions of Russian Federation (in Russian). Publishing House of the University “Higher School of Economics”, Moscow (2012)Google Scholar
- 14.Indicators of innovative activity: 2008. Statistical Yearbook. http://issek.hse.ru/news/ 49369377.html. Cited 15 May 2013
- 16.Khoroshevsky, V.F.: On a method of semantic interpretation of data patterns based on a structural approach (in Russian). Working paper WP7/2012/08, Publishing House of the University “Higher School of Economics”, Moscow (2012)Google Scholar
- 17.Khoroshevsky, V.F., Moskovskiy, A., Rovbo, M.: Russian regions activity indicators analysis software system based on ontological models and data patterns. Programmnye Produkty i Sistemy 3, 194–202 (2013)Google Scholar
- 19.Statistical handbook of the Federal Service of State Statistics “Russian Statistical Yearbook”. http://www.gks.ru/bgd/regl/b11_13/Main.htm. Cited 15 May 2013
- 20.Statistical handbook of the Federal State Statistics Service, “Household Survey on employment”. http://www.gks.ru/bgd/regl/b12_30/Main.htm. Cited 15 May 2013
- 21.Statistical handbook of the Federal State Statistics Service, “Regions of Russia. Socio-economic indicators”. http://www.gks.ru/bgd/regl/b11_14p/Main.htm. Cited 15 May 2013