Abstract
In this paper, we presented a methodology for identifying policy actors for policy fields and evaluate their power. Presented methodology is based on text parsing and mining, and producing networks with analysis of the text processing results. We used the example of the Russian Unified State Exam, as the real case of policy formulation and implementation, to test the proposed methodology. The methodology was shown to have great potential for verifying the theories of policy studies and for a broader application in the areas where analysis of policy actors and their power, influence, and impact is needed.
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Acknowledgements
The article was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy by the Russian Academic Excellence Project ‘5-100.’
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Zaytsev, D., Khvatsky, G., Talovsky, N., Kuskova, V. (2020). Network Analysis Methodology of Policy Actors Identification and Power Evaluation (The Case of the Unified State Exam Introduction in Russia). In: Bychkov, I., Kalyagin, V., Pardalos, P., Prokopyev, O. (eds) Network Algorithms, Data Mining, and Applications. NET 2018. Springer Proceedings in Mathematics & Statistics, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-030-37157-9_16
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