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Online Creativity Modeling and Analysis Based on Big Data of Social Networks

  • Anton IvaschenkoEmail author
  • Anastasia Khorina
  • Pavel Sitnikov
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 858)

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.

Keywords

Big data Internet Social networks Tag clouds 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Anton Ivaschenko
    • 1
    Email author
  • Anastasia Khorina
    • 1
  • Pavel Sitnikov
    • 2
  1. 1.Information Systems and Technologies DepartmentSamara National Research UniversitySamaraRussia
  2. 2.Applied Programming and Technology, Innovations DepartmentITMO UniversitySaint PetersburgRussia

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