TY - JOUR

T1 - Modelling of process information dissemination and its impact dynamics to mass consciousness

AU - Fedotov, Anatolii

AU - Barakнnin, Vladimir

AU - Murzakhmetov, Aslanbek

AU - Milyuk, Igor

N1 - Funding Information: The paper was supported by the research grant funding from the Ministry of Education and Science of the Republic of Kazakhstan №.AP05136080 and the research grant funding from the Russian Foundation for Basic Research, project № 20-07-00651-A. Publisher Copyright: © 2005 - ongoing JATIT & LLS Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/12/15

Y1 - 2020/12/15

N2 - The paper deals the problem of modelling information dissemination in the community and its impact on the mass consciousness. At the same time, the quality of information in the paper implies such categories as innovation, idea and opinion. To study the dynamics of information dissemination in society has been proposed system with a dynamic modelling approach, which allows to take into account a number of significant factors influencing the processes of information dissemination in society and the impact of this information on the mass consciousness. The proposed model reflects such factors as the probability of interest, interpersonal contact, media exposure, the likelihood of communication on the topic of information, the probability of forgetting, the number of contacts, an indicator of mass character and regularity of the media promoting a certain idea. The proposed simulation system with a dynamic model allows simulating various scenarios for the development of information dissemination processes in a community, identifying relationships between factors influencing the dynamics of information effects on mass consciousness, and under given initial conditions its practical implementation possible in the Anylogic simulation package. This paper contains the results of the application of original descriptions of human behavior models and scenarios at various levels of communication. Comparisons with other this kind systems have shown the advantages of the approach proposed by the authors. As a result of the conducted experiments, dependencies were revealed between the rate of acceptance of information by new members of the community and the frequency of contacts of persons who already perceived the information. The results of the work can be used in sociological, biological, economic, and socio-psychological studies of mass communication to predict various scenarios and control mass consciousness, for example, the process of promoting goods and services in a competitive market environment.

AB - The paper deals the problem of modelling information dissemination in the community and its impact on the mass consciousness. At the same time, the quality of information in the paper implies such categories as innovation, idea and opinion. To study the dynamics of information dissemination in society has been proposed system with a dynamic modelling approach, which allows to take into account a number of significant factors influencing the processes of information dissemination in society and the impact of this information on the mass consciousness. The proposed model reflects such factors as the probability of interest, interpersonal contact, media exposure, the likelihood of communication on the topic of information, the probability of forgetting, the number of contacts, an indicator of mass character and regularity of the media promoting a certain idea. The proposed simulation system with a dynamic model allows simulating various scenarios for the development of information dissemination processes in a community, identifying relationships between factors influencing the dynamics of information effects on mass consciousness, and under given initial conditions its practical implementation possible in the Anylogic simulation package. This paper contains the results of the application of original descriptions of human behavior models and scenarios at various levels of communication. Comparisons with other this kind systems have shown the advantages of the approach proposed by the authors. As a result of the conducted experiments, dependencies were revealed between the rate of acceptance of information by new members of the community and the frequency of contacts of persons who already perceived the information. The results of the work can be used in sociological, biological, economic, and socio-psychological studies of mass communication to predict various scenarios and control mass consciousness, for example, the process of promoting goods and services in a competitive market environment.

KW - Diffusion Of Innovations

KW - Information Dissemination

KW - Interpersonal Communication

KW - Mass Consciousness

KW - Public Opinion

UR - http://www.scopus.com/inward/record.url?scp=85097799658&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85097799658

VL - 98

SP - 3691

EP - 3702

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 23

ER -