Creating the Model of the Activity of Social Network Twitter Users

Authors

  • Igor Rytsarev Samara State Aerospace University, Samara, 443086, Russia
  • Aleksandr Blagov Samara State Aerospace University, Samara, 443086, Russia

Keywords:

Twitter, Big Data, Statistical Model, Social Network,

Abstract

The present article is dedicated to the research in the area of analyzing text data from social network Twitter. Due to large volumes of data generated in social networks, the collection and processing of these data can be performed by means of methods and instruments of Big Data. The article describes the process of determining the most popular words and terms in social network Twitter. Based on the results drawn from the analysis of their usage, a model of user’s activity has been developed. In addition, mathematical statistics methods were used to validate the adequacy of the model.

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Published

2017-03-15

How to Cite

Rytsarev, I., & Blagov, A. (2017). Creating the Model of the Activity of Social Network Twitter Users. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1-3), 27–30. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1737

Issue

Vol. 9 No. 1-3: Smart City Technology in Communication and Computer Engineering I

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)