An Agent-Based Modelling Approach to Analyse the Public Opinion on Politicians

被引：1

作者：

Brouwers, Thijs M. A. ^{[1
]}

Onneweer, John P. T. ^{[1
]}

Treur, Jan ^{[1
]}

机构：

[1] Vrije Univ Amsterdam, Behav Informat Grp, Amsterdam, Netherlands

来源：

SOCIAL INFORMATICS, SOCINFO 2018, PT I | 2018年 / 11185卷

关键词：

Opinion dynamics; Network model; Politician;

D O I：

10.1007/978-3-030-01129-1_7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A politician's popularity can be measured by polls or by measuring the amount of times a politician is mentioned on the Internet in a positive or negative manner. This paper introduces an approach to an agent-based computational model to model a politician's popularity within a population that participates on the Internet over time. A particle swarm optimization algorithm is used for parameter tuning to identify the characteristics of all agents based on the analysis of public opinions on a politician found on the Internet. The properties of the network are verified by applying a social network analysis. A mathematical analysis is used to get more in depth understanding on the model and to verify its correctness.

引用

页码：102 / 116

页数：15

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