Peer-reviewed articles 17,970 +



Title: MODELLING NONLINEAR EFFECTS OF AGENTS INFORMATION INTERACTION IN SOCIAL NETWORKS

MODELLING NONLINEAR EFFECTS OF AGENTS INFORMATION INTERACTION IN SOCIAL NETWORKS
I.A. Smirnov;L.A Dmitrieva; Yu.A.Kuperin;E.Yu. Pazgalova
1314-2704
English
18
2.1
The authors propose a model of nonlinear interaction of social network agents, which is based on a matrix generalization of the known one-dimensional logistic mapping. Similar models have not been considered previously and have not been investigated numerically. Despite the relative simplicity of the proposed non-linear model, in the course of numerical experiments, various modes of agent behavior were observed. Namely, one of the agents hesitated in making a certain decision, others were able to "agree" (came to a consensus), some agents lost interest in the issue under discussion (their numerical opinion on this issue was zero). Contribution of the authors is also in the fact that the mathematical description of the model has been translated into software algorithms, the parameters have been tuned and the hypotheses have been numerically tested, all of which have been confirmed. For each numerical experiment, we wrote and debugged the program code in the MatLab package.
conference
18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
575-582
02-08 July, 2018
website
cdrom
567
social network; agent's opinion; agent's influence; information influence model; matrix model.

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