The effectiveness of flood risk communication strategies and the influence of social networks—Insights from an agent-based model

2016 ◽  
Vol 60 ◽  
pp. 44-52 ◽  
Author(s):  
Toon Haer ◽  
W.J. Wouter Botzen ◽  
Jeroen C.J.H. Aerts
Keyword(s):  
Social Networks ◽  
Risk Communication ◽  
Flood Risk ◽  
Communication Strategies ◽  
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 An Agent-Based Model of Flood Risk and Insurance

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Jan Dubbelboer ◽  
Igor Nikolic ◽  
Katie Jenkins ◽  
Jim Hall
Keyword(s):  
Flood Risk ◽  
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.

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