TY - GEN

T1 - Modelling nonlinear effects of agents information interaction in social networks

AU - Smirnov, I. A.

AU - Dmitrieva, L. A.

AU - Kuperin, Yu A.

AU - Pazgalova, E. Yu

N1 - Publisher Copyright: © SGEM2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Agent's influence

KW - Agent's opinion

KW - Information influence model

KW - Matrix model

KW - Social network

UR - http://www.scopus.com/inward/record.url?scp=85058871653&partnerID=8YFLogxK

U2 - 10.5593/sgem2018/2.1/S07.073

DO - 10.5593/sgem2018/2.1/S07.073

M3 - Conference contribution

AN - SCOPUS:85058871653

SN - 9786197408355

T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

SP - 575

EP - 582

BT - Micro and Nano Technologies, Space Technologies and Planetary Science

PB - International Multidisciplinary Scientific Geoconference

T2 - 18th International Multidisciplinary Scientific Geoconference, SGEM 2018

Y2 - 2 July 2018 through 8 July 2018

ER -