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

Taxpayer Compliance Simulation

2008 ◽  
pp. 13-25 ◽  
Author(s):  
Kim M. Bloomquist
Keyword(s):  
Economic Theory ◽  
Social Networks ◽  
Tax Evasion ◽  
Tax Compliance ◽  
Probability Of Detection ◽  
Agent Based Model ◽  
Tax Enforcement ◽  
Agent Based ◽  
Multi Agent

This chapter describes the development of a prototype multi-agent based model – the Tax Compliance Simulator (TCS) – designed to help tax administrators think about ways to reduce tax evasion. TCS allows the user to define unique behavioral, income, and tax enforcement characteristics for one or two distinctive taxpayer populations. The capabilities of the model are demonstrated in a simulation of the deterrent effects of taxpayer audits. The simulation finds that a significant portion of audit-based deterrence may depend on the influence of taxpayers’ social networks rather than the probability of detection or penalty for underreporting as indicated by economic theory (Allingham and Sandmo, 1972).

An agent-based model of network effects on tax compliance and evasion

2014 ◽  
Vol 40 ◽  
pp. 119-133 ◽  
Author(s):  
Amanda L. Andrei ◽  
Kevin Comer ◽  
Matthew Koehler
Keyword(s):  
Network Effects ◽  
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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