中心性
夏普里值
俱乐部
计算机科学
情感(语言学)
图形
社交网络(社会语言学)
加权网络
数理经济学
运筹学
博弈论
微观经济学
数学
心理学
复杂网络
理论计算机科学
经济
社会化媒体
统计
万维网
医学
沟通
解剖
作者
Mikhail Rogov,Artem Sedakov
标识
DOI:10.1134/s0005117920030108
摘要
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.
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