| Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
|---|---|---|
| Article Number | 07012 | |
| Number of page(s) | 6 | |
| Section | Psychology of Environmentally Responsible Behavior | |
| DOI | https://doi.org/10.1051/e3sconf/202125807012 | |
| Published online | 20 May 2021 | |
Potential of the dynamic approach to data analysis
1 Tomsk State University of Control Systems and Radioelectronics, 634050, Lenin Avenue, 40, Tomsk, Russia
2 Tomsk State University, 634050, Lenin Avenue, 36, Tomsk, Russia
* Corresponding author: orlov5508@rambler.ru
Explores the potential of a dynamic data analysis approach to study user behavior in social networks. Currently, information appears on social networks that allows differentiating user groups by their activity within the technical capabilities of a particular social network. The description of the information field of Tomsk is presented, a brief analysis is given. A dynamic approach to the study of user behavior, the structure of nodes and connections of social networks makes it possible to identify the rate of growth or decrease in the size of the network, the redistribution of connections between groups. There are four main stages in the analysis of social networks: 1) data collection; 2) selection of data for analysis; 3) selection and application of the analysis method; and 4) drawing conclusions. To obtain a complete picture of the information field of the Tomsk region, posts for 2019 were unloaded from all regional communities. All posts were classified based on training sample and specialized machine learning algorithm.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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