Abstract
In this chapter, problems of testing hypotheses on degree distribution in the market graph and of identifying power law in data are discussed. Research methodology of power law hypothesis testing is presented. This methodology is applied to testing hypotheses on degree distribution in the market graphs for different stock markets. Obtained results are discussed.
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Acknowledgements
The work of Koldanov P.A. was conducted at the Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics. The work is partially supported by RFHR grant 15-32-01052.
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Koldanov, P.A., Larushina, J.D. (2017). Testing Hypothesis on Degree Distribution in the Market Graph. In: Kalyagin, V., Nikolaev, A., Pardalos, P., Prokopyev, O. (eds) Models, Algorithms, and Technologies for Network Analysis. NET 2016. Springer Proceedings in Mathematics & Statistics, vol 197. Springer, Cham. https://doi.org/10.1007/978-3-319-56829-4_15
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DOI: https://doi.org/10.1007/978-3-319-56829-4_15
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