Problems of Automation of the Aggression Analysis in Socio-Cyberphysical Environment
- https://doi.org/10.2991/aisr.k.201029.007How to use a DOI?
- management automation, sociometrics, electronic communication, aggression, socio-cyberphysical environment
The article presents the results of the carried out interdisciplinary research that allowed creating algorithmic software to determine the structural composition of investigated cases of electronic communication that could be interpreted as aggressive. Such interpretation is offered to be carried out by means of the system analysis of the hypertext according to the following metrics: the intensity of discussion, density and reference. The research allowed us to define sociometric models of electronic communication accompanied by aggression; the primary detection of these models is the basis for carrying out the procedure of a detailed linguistic analysis of the text of the communication. Such an approach promotes the reduction of expenses for the management of aggression processes in the socio-cyberphysical environment. The received results prove the possibility to automate the analysis of information content and to raise the interpretability of phenomena in the socio-cyberphysical environment. We examined the aspects of crawling and parsing of modern web-platforms, focused data gathering, automatic and automated extraction of comments with the application of various technologies. The architecture of a system of multithreaded data gathering is offered.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Irina Kulagina AU - Andrey Iskhakov PY - 2020 DA - 2020/11/10 TI - Problems of Automation of the Aggression Analysis in Socio-Cyberphysical Environment BT - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020) PB - Atlantis Press SP - 35 EP - 40 SN - 1951-6851 UR - https://doi.org/10.2991/aisr.k.201029.007 DO - https://doi.org/10.2991/aisr.k.201029.007 ID - Kulagina2020 ER -