scholarly journals Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks

2013 ◽  
Vol 11 (1) ◽  
pp. 51-70 ◽  
Author(s):  
Andreas Koulouris ◽  
Ioannis Katerelos ◽  
Theodore Tsekeris
Keyword(s):  
Social Networks ◽  
Opinion Dynamics ◽  
Agent Based Model ◽  
Agent Based

An Agent–Based Model of Tax Compliance with Social Networks

2007 ◽  
Vol 60 (3) ◽  
pp. 589-610 ◽  
Author(s):  
Adam Korobow ◽  
Chris Johnson ◽  
Robert Axtell
Keyword(s):  
Social Networks ◽  
Tax Compliance ◽  
Agent Based Model ◽  
Agent Based

scholarly journals Corrigendum to “The Influence of Confidence and Social Networks on an Agent-Based Model of Stock Exchange”

Complexity ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-1
Author(s):  
Mario A. Bertella ◽  
Jonathas N. Silva ◽  
André L. Correa ◽  
Didier Sornette
Keyword(s):  
Social Networks ◽  
Stock Exchange ◽  
Agent Based Model ◽  
Agent Based

Are social bots a real threat? An agent-based model of the spiral of silence to analyse the impact of manipulative actors in social networks

2019 ◽  
Vol 28 (4) ◽  
pp. 394-412 ◽  
Author(s):  
Björn Ross ◽  
Laura Pilz ◽  
Benjamin Cabrera ◽  
Florian Brachten ◽  
German Neubaum ◽  
...  
Keyword(s):  
Social Networks ◽  
Spiral Of Silence ◽  
Agent Based Model ◽  
Agent Based ◽  
The Spiral Of Silence ◽  
The Impact

A full-scale agent-based model of Lombardy COVID-19 dynamics to explore social networks connectivity and vaccine impact on epidemic (Preprint)

2020 ◽  
Author(s):  
Giuseppe Giacopelli
Keyword(s):  
Social Networks ◽  
Full Scale ◽  
Agent Based Model ◽  
Individual Based Model ◽  
Agent Based ◽  
Vaccine Impact ◽  
The Impact

UNSTRUCTURED COVID-19 outbreak is an awful event. However it gives to the scientists the possibility to test theories about epidemic. The aim of this contribution is to propose a individual-based model of Lombardy COVID-19 outbreak at full-scale, where full-scale means that will be simulated all the 10 millions inhabitant population of Lombardy person by person, in a commercial computer. All this to test the impact of our daily actions in epidemic, investigate social networks connectivity and in the end have an insight on the impact of an hypothetical vaccine.

scholarly journals Based on Agent Model and K-Core Decomposition to Analyze the Diffusion of Mass Incident in Microblog

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
Jun Pan ◽  
Huizhang Shen ◽  
Zhong Chen
Keyword(s):  
Social Networks ◽  
Complex Network ◽  
Online Social Networks ◽  
Decomposition Method ◽  
Diffusion Mechanism ◽  
Agent Based Model ◽  
Policy Makers ◽  
Agent Based ◽  
Agent Model ◽  
The Stability

Mass incidents, which may influence the stability and security of the society in China, are getting more and more attentions not only from policy makers but also from Chinese social researchers. Catching the diffusion mechanism is believed to be critical to understand essential of these mass incidents since message dissemination plays important roles in every stage of mass incident. Recently, online social networks including Weibo (Chinese Twitter) become more and more popular in China. There are reports showing that Weibo discussion has accompanied the processes of most mass incidents happening in China in these few years. So, in this paper, we aim at introducing K-Core decomposition method from complex network to the analysis on how to manage the diffusion of mass incident in Weibo based on agent based model which can simulate Weibo user’s actions when mass incident happens. This work can help people understand how mass incident messages spread across the network. And then, people may have better strategy to manage the diffusion of mass incidents.

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