Program modeling dissemination of information-psychological influences in virtual social networks
Main Article Content
Abstract
The subject matter of the article is the processes of dissemination of information-psychological influences in virtual social networks. The goal is to develop the program model for the dissemination of information-psychological influences in a segments of a virtual social network. The tasks to be solved are: to develop a program model for determining how a structure of a social network, the properties and roles of users affect the speed of dissemination of information-psychological influences, and to determine the effectiveness of various strategies for disseminating information-psychological influences. The methods used are: graph theory, set theory, probability theory, object-oriented programming. The following results were obtained: а program model for the dissemination of information-psychological influences in a segments of a social network was developed, with the help of which various strategies for the dissemination of information were modeled and the comparison of their effectiveness was made. Conclusions. The developed program model can be used to predict a consequences of the dissemination of information-psychological influences in segments of a social network when applying various strategies for disseminating information during information operations or information wars. Modeling of various information dissemination strategies was carried out, in particular, the proposed "bush" strategy and "tree" strategy. As shown by the simulation results, the effectiveness of a strategy can be improved by using multi-criteria node analysis functions to select a most successful node for the attack. The scientific novelty of the results obtained is as follows: the program model for modeling the dissemination of information-psychological influences in virtual social networks has been developed that, unlike existing ones, allows to take into account a structure of a social network, the roles and characteristics of users and the accumulative impact of a same messages, and also allow the generation of a social network with specified structural characteristics.
Article Details
References
Bogush, V.M. and Yudin, О.К. (2005), Information Security of the State, MK-Press, Kyiv, 432 p.
Kolbasov, S.M. (2006), Macromodeling of information conflicts and information operations of socio-technical information systems, Voronezh, 146 p.
Ostapenko, G.A. (2007), Information Operations and Attacks in Socio-Technical Systems, Hot line-Telecom, Moscow, 134 р.
Suslova, V.A. and Gorodov, A. A. (2015),”Methods of modeling social networks”, Reshetnev Readings, No. 19, available at: http://cyberleninka.ru/article/n/metody-modelirovaniya-sotsialnyh-setey (last accessed March 01, 2018).
Gubanov, D.A., Novikov, D.A. and Chkhartishvili, A.G. (2009), “Models of Influence in Social Networks”, UBS, No. 27, available at: http://cyberleninka.ru/article/n/modeli-vliyaniya-v-sotsialnyh-setyah (last accessed March 01, 2018).
Ulichev, O.S. and Meleshko, Є.V. (2017), “The program model of social policy and strategy is the widening of information and psychology”, The information technology and computer technology, TSNTU, Kropivnitsky, pp. 136-139.
Sazanov, V.M. (2010), Social networks as a new public sphere, Laboratory of SVM, Moscow, 180 p.
Hogan, B. (2018), Analysis of social networks on the Internet, available at: https://postnauka.ru/longreads/20259 (last accessed March 01, 2018).
Moody, J. and White, D. R. (2003), “Structural cohesion and embeddedness”, American Sociological Review, Vol. 68(1), рр. 103-128.