Abstract
The article aims to show the possible applications of predictive algorithms in the field of social sciences. Due to the high diversity of data obtained in research, there is a need to look for solutions that allows better exploratory data analysis. The article uses the example of Problematic Internet Use, which is a phenomenon related to excessive use of the network and the negative effects associated with it. This phenomenon is the subject of psychological research, in the field of variables that can be considered as predictors, elements of construct image, or the possibility of predicting its development. The purpose of this article is to propose a method allowing to build a pre-evidential model of the occurrence of the problematic Internet Use using the possessed data, and to determine the correlations between variables constituting this phenomenon.
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Acknowledgements
For first and second authors co-financed by the European Union through the European Social Fund (grant POWR.03.02.00-00-I029).
This work has been partially supported by Institute of Automatic Control BK Grant 02/010/BK18/0102 (BK/200/Rau1/2018) in the year 2019. The analysis has been performed with the use of IT infrastructure of GeCONiI Upper Silesian Centre for Computational Science and Engineering (NCBiR grant no POIG.02.03.01-24-099/13).
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Probierz, E., Sikora, W., Gałuszka, A., Gałuszka, A. (2020). Predictive Algorithms in Social Sciences – Problematic Internet Use Example. In: Gruca, A., Czachórski, T., Deorowicz, S., Harężlak, K., Piotrowska, A. (eds) Man-Machine Interactions 6. ICMMI 2019. Advances in Intelligent Systems and Computing, vol 1061 . Springer, Cham. https://doi.org/10.1007/978-3-030-31964-9_9
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