TY - JOUR

T1 - Coordinated Influence on the Opinions of Social Network Members

AU - Rogov, M. A.

AU - Sedakov, A. A.

N1 - Rogov, M.A., Sedakov, A.A. Coordinated Influence on the Opinions of Social Network Members. Autom Remote Control 81, 528–547 (2020). https://doi.org/10.1134/S0005117920030108

PY - 2020/3/1

Y1 - 2020/3/1

N2 - This paper studies a model of coordinated influence in a social network in which several members, called players, can jointly affect the opinions of other members, called agents, during a finite period of time. The model is treated as a cooperative dynamic game. The influence of players is expressed by declaring their opinions which are then considered and weighted by the agents to form their own opinions. The goal is to find the declared opinions of players focusing only on associated costs as well as on the average deviation of agents beliefs from the desired ones. Under coordination, the total costs of players are distributed using the Shapley value. If there is no information about the degrees of trust of agents to each other, these degrees are estimated using a centrality measure. Numerical simulation is performed for a well-known social network of a university karate club and for a lattice graph often used for modeling of spatial networks.

AB - This paper studies a model of coordinated influence in a social network in which several members, called players, can jointly affect the opinions of other members, called agents, during a finite period of time. The model is treated as a cooperative dynamic game. The influence of players is expressed by declaring their opinions which are then considered and weighted by the agents to form their own opinions. The goal is to find the declared opinions of players focusing only on associated costs as well as on the average deviation of agents beliefs from the desired ones. Under coordination, the total costs of players are distributed using the Shapley value. If there is no information about the degrees of trust of agents to each other, these degrees are estimated using a centrality measure. Numerical simulation is performed for a well-known social network of a university karate club and for a lattice graph often used for modeling of spatial networks.

KW - CENTRALITY

KW - CONSENSUS

KW - DYNAMICS

KW - INFORMATIONAL CONTROL

KW - MODELS

KW - WISDOM

KW - centrality

KW - cooperation

KW - equilibrium

KW - influence

KW - linear-quadratic games

KW - opinion dynamics

KW - social network

UR - http://www.scopus.com/inward/record.url?scp=85082768445&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/9cd057ba-c349-36c4-82ba-00f1cf95f19f/

U2 - 10.1134/S0005117920030108

DO - 10.1134/S0005117920030108

M3 - Article

AN - SCOPUS:85082768445

VL - 81

SP - 528

EP - 547

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 3

ER -