Abstract
This paper presents an original model and approach to capture the trends of Internet user’s activity evolution in time considering the personal features. The proposed model is based on a set of concepts including log, focus, context, and overlay context and is used for approximation of Internet users’ behavior. Software solution was developed for social networks Big Data analysis that provides identification of positive and negative trends in users’ focus evolution. The proposed approach is illustrated by the results of open data analysis taken from Gartner statistics, Wikipedia and social networks.
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Ivaschenko, A., Khorina, A., Sitnikov, P. (2019). Online Creativity Modeling and Analysis Based on Big Data of Social Networks. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-01174-1_25
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DOI: https://doi.org/10.1007/978-3-030-01174-1_25
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