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Analytical review of the main classes of modern models of information impact assessment, including in social networks
Shachneva Anna Vladimirovna

graduate student, Financial University under the Government of the Russian Federation

117229, Russia, g. Moscow, ul. Sevastopol'skii Pr., 28

annavkarpova@mail.ru

Abstract.

The author considered in detail the main classes of modern models of information impact assessment. The subject of research is economic-mathematical methods, which include elements of approaches and results, the theory of fuzzy sets, the theory of probability, the theory of decision making and operations research and the theory of Markov chains, in the context of application to modeling the influence of information on economic processes. The purpose of the study is to analyze in detail the existing domestic and foreign models of information influence. The methodology and methodological apparatus of the research is represented by the developments and theoretical concepts presented in the works of domestic and foreign authors in the field of economic and mathematical modeling, probability theory and mathematical statistics. The novelty of the research lies in the fact that, based on the analysis of existing models of information impact, it was possible to develop approaches to the construction of mathematical models of the influence of information effects on economic processes. Also highlighted areas for further work to improve the existing models of information influence in order to further more effective assessment of information impacts on economic processes.

Keywords: targeted informational impact, Markov chains, SOCIAL NETWORK, simulation models, information management, optimization models, information impact, decision theory in economics, models of information influence, modeling

DOI:

10.7256/2454-0714.2018.3.26401

Article was received:

18-06-2018


Review date:

18-06-2018


Publish date:

11-10-2018


This article written in Russian. You can find full text of article in Russian here .

References
1.
Eguffluz V., Klemm K., Epidemic Threshold in Structured Scale-free Networks// Physical Review Letters. 2002. 89.
2.
Goldenberg J..Libai B., Muller E. Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth// Marketing Letters, August 2001, Volume 12, Issue 3, pp 211223 ;
3.
Kempe D., Kleinberg J., and Tardos E. Maximizing the Spread of Influence through a Social Network/ Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
4.
Morris S. Contagion// The Review of Economic Studies, Volume 67, Issue 1, 1 January 2000, Pages 5778
5.
Pastor-Satorras R., Castellano C., Van Mieghem P, Vespignani A. Epidemic processes in complex networks// Rev. Mod. Phys. 87, 925, 2015;
6.
Wu F., Huberman B., Adsmic L., Tyler J. Information Flow in Social Groups// Physica A, 337:327-335, 2004.
7.
Barbashi A.L. Seti bez masshtabov// V mire nauki. Scientific American.2003. 8 C.55-63;
8.
Gubanov D.A., Novikov D.A., Chkhartishvili A.G. Sotsial'nye seti: modeli informatsionnogo vliyaniya, upravleniya i protivoborstva, 2010, S.107
9.
Kemeni Dzh. Snell Dzh. Konechnye tsepi Markova. M,: Nauka, 1970
10.
Krichevskii R., Dubovskaya E. Psikhologiya maloi gruppy: teoreticheskii i prikladnoi aspekty. M.:Izd-vo MGU, 1991