MODELLING THE DYNAMICS OF THE SUBJECT OF MASS COMMUNICATION MENTALITY

Keywords: Mentality, dynamics, mathematical models

Abstract

The paper outlines the modelling concept of the dynamics of susceptibility of the subjects of mass communication to the effects of inductors. The level of susceptibility is one of the key characteristics of the subject's mentality, as a system of feelings (likes and dislikes), stereotypes, values, ideas about the world, which are formed in the mind during key periods of his life (childhood, becoming, social and political disasters, etc.). The changes in the structure of this system, its key characteristics – levels of perception, as well as the impact (induction) of certain views on social phenomena are determined as the dynamics of mentality. The probability of transition of the recipient from one socio-psychological state to another depends on the levels of perception and influence in a pair of recipient-inductor. Such dependence is adopted as multiplicative. Transitions from state to state under the influence of various factors may be accompanied by changes in the levels of perception and impact, which are determined by the dynamics of mentality.

Mathematical models of this dynamics are offered in the form of iterative schemes, finite probabilistic automata. The states themselves can be viewed as structures (vectors, in particular), their components (impact and perception levels, types of behavior, in particular) - as linguistic variables that take on the values of vague variables, which, in turn, are determined by the characteristic functions of vague sets. It was determined that iterative schemes should be applied with variability (possible changes) of the state structure, dynamism of the set of states (some states are not known in advance, possible emergence of new states). For impact and susceptibility levels (the number of which, in case of using a vague option, is limited and known in advance, for example, zero, low, medium, high, maximum), it is recommended to use finite probabilistic automata. Fixing the transition from state to state can be carried out by sociological tools (by interviewing, questioning, etc.).

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References

Akmalova, A.A., Kapitsyn, V.M., Mironov, A.V., & Mokshin, V.K. (2011). Dictionary of sociology. Moscow: Dashkov and K *. (in Russian)

Andreeva, G.M. (1998). Social Psychology. Moscow: Science. (in Russian)

Archetype (psychology). Wikipedia. Retrieved from https://ru.wikipedia.org/wiki/Archetype_ (Psychology).

Berkovich, S. Ya. (1993). Cellular automata as a model of reality: The search for new ideas of physical and information processes. Translation from English. Moscow: Moscow University Press. (in Russian)

Borisnev, S.V. (2003). Sociology of communication: studies. manual for universities. Moscow: UNITY-DANA. (in Russian)

Bukharaev, R.G. (1985). Fundamentals of the theory of probabilistic automata. Moscow: Science. (in Russian)

Gubanov, N.N. (2011). Mentality: the essence and functioning in society. Saarbruecken: Lap Lambert Academic Publishing. (in Russian)

Gubanov, N.N. (2014). The formation, development and functioning of the mentality in society. Moscow: International Publishing Center "Ethnosocium". (in Russian)

Danich, V.N. (2003). Models of panic in a society with a heterogeneous socio-psychological and role composition of participants. Economical cybernetics. International Science Magazine, 1-2, 40-50. (in Russian)

Danich, V.N. (2004). Modeling rapid socio-economic processes: a monograph. Lugansk: Publishing House of the East Ukrainian National University. V. Dahl. (in Russian)

Information society. Wikipedia. Retrieved from https://uk.wikipedia.org/wiki/Informational_society.

Kononenko, B.I. (2003). Large explanatory dictionary of cultural studies. Moscow: Veche 2000 Publishing House LLC, ACT Publishing House LLC. (in Russian)

Leonhard, K. (1981). Accentuated personalities. Kiev: Vishcha School. (in Russian)

Mentality. Wikipedia. Retrieved from https://uk.wikipedia.org/wiki/Mentality.

Pospelov, D. A. (Ed.). (1986). Fuzzy sets in models of control and artificial intelligence. Moscow: Science. Main edition of Physics and Mathematics. (in Russian)

Olshansky, D.V. (2001). The psychology of the masses. SPb. : Peter. (in Russian)

Pivkin, V.Ya., Bakulin, E.P., Korenkov D.I. Fuzzy sets in control systems. Tutorial. (Ed.). prof. Yu.N.Zolotukhina. Institute of Automation and Electrometry SB RAS. Laboratory of fuzzy technology. Retrieved from http://www.softcomplete.com/algo/neuro/fuzzy-use/content.html. (in Russian)

Pocheptsov, G.G. (2015). Information warfare. New policy tool. Moscow: Algorithm. (in Russian)

Pocheptsov, G.G. (2001). Communication Theory Moscow: “Refl-Bek”, Kiev: “Vakler”. (in Russian)

Psychological typology. Wikipedia. Retrieved from https://ru.wikipedia.org/wiki/Psychological_typologies.

Rubinstein, S.L. (2001). Basics of general psychology. SPb.: Peter. (in Russian)

Eve, G.P., Sherkovina, Yu. A. (Ed.). (1975). Social psychology. Short essay. Moscow: Politizdat. (in Russian)

Stolyarenko, LD. (2001). Fundamentals of psychology. 4th ed., revised and updated. Rostov-on-Don: Phoenix. (in Russian)

Hopkroft, D., Motvani, R., Ulman, J. (2002). Introduction to the theory of automata, languages and computations. Translation from English. Moscow: Williams. (in Russian)

Jung, K.G. (2006). Psychological types. Moscow: AST; Minsk: Harvest. (in Russian)

Jung, K. G. (1996). Man and his symbols. St. Petersburg: B.S. K. (in Russian)

Danich, V.N., Schevchenko, S.N. (2012). The dynamic model of information-administrative architecture of the coal industry enterprises. TEKA. Commission of motorization and power industry in agriculture, 4(12), 31-35.

Published
2019-06-06
How to Cite
Даніч, В. М. (2019). MODELLING THE DYNAMICS OF THE SUBJECT OF MASS COMMUNICATION MENTALITY. Bulletin of V. N. Karazin Kharkiv National University Economic Series, (96), 15-23. https://doi.org/10.26565/2311-2379-2019-96-02
Section
Modelling, simulation and information technology in economics and management