<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maksym Shchoholiev</style></author><author><style face="normal" font="default" size="100%">Violeta Tretynyk</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The System of Operative Determination of the Level of Tension in Society Based on Data from Social Networks</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">context</style></keyword><keyword><style  face="normal" font="default" size="100%">data aggregation</style></keyword><keyword><style  face="normal" font="default" size="100%">hybrid war</style></keyword><keyword><style  face="normal" font="default" size="100%">keyword</style></keyword><keyword><style  face="normal" font="default" size="100%">social networks</style></keyword><keyword><style  face="normal" font="default" size="100%">social tension</style></keyword><keyword><style  face="normal" font="default" size="100%">TF-IDF</style></keyword><keyword><style  face="normal" font="default" size="100%">word2vec representation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">375-382</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The system presented in this article was developed for state structures with responsibilities for ensuring security and stability in the society. The main task of the system is to determine the impact of information stored on various Internet resources on society. It serves to assess the level of tension on the basis of comments of social networks’ users on certain news and posts. The system takes into account the number of news’ reposts and the average emotionality of comments on this news. The methods TF-IDF and word2vec are used for keyword determination from the text and their transformation into numerical values. The level of emotionality is defined by an artificial neural network. To get the resulting estimate, a data aggregation block is developed and used to reduce various independent quantitative and qualitative characteristics into one value.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">375</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Venelin Georgiev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Two-Level Model for Describing the Risk Profile in Formulating Policy and Developing Security Capabilities</style></title><secondary-title><style face="normal" font="default" size="100%">IT4Sec Reports</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">context</style></keyword><keyword><style  face="normal" font="default" size="100%">Risk</style></keyword><keyword><style  face="normal" font="default" size="100%">risk management</style></keyword><keyword><style  face="normal" font="default" size="100%">risk profile assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">scenario</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June 2015</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">129</style></number><publisher><style face="normal" font="default" size="100%">Institute of Information and Communication Technologies</style></publisher><pub-location><style face="normal" font="default" size="100%">Sofia</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The risk assessment/management concept is widely used in security research due to its universality, but also because of the active nature and sense of precautionary management, implemented on its basis. The security risk profile can be described and studied at different levels of security, which poses the question how researchers should choose the appropriate model for identifying, evaluating and developing strategies to mitigate the risk. The article raises the question whether the use risk profiles for the purposes of policy formulation, at one level of security, and capacity building at another, can introduce errors in decision making. As a possible tool to eliminate such errors the author proposes the use of a two-stage model for the description and study of the risk profile, which includes a contextual and a specific level of the discourse.</style></abstract></record></records></xml>