Aspects of complexity in citizen–bureaucrat corruption: an agent-based simulation model

Zausinová, Jana; Zoričak, Martin; Vološin, Marcel; Gazda, Vladimír

doi:10.1007/s11403-019-00240-x

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…In the recent paper by Zausinova et al [2020] several aspects of previous models are combined. The goal was to demonstrate that corruption is a phenomenon of the society, where a number of effects studied in complexity science occur, such as adaptivity, non-linearity, self-organization and sensitivity to the initial conditions.…”

Section: Agent-based Modelsmentioning

confidence: 99%

Computational Approaches to the Study of Corruption

Villamil¹,

Kertész²,

Wachs³

2022

Preprint

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Studying corruption presents unique challenges. Recent work in the spirit of computational social science exploits newly available data and methods to give a fresh perspective on this important topic. In this chapter we highlight some of these works, describing how they provide insights into classic social scientific questions about the structure and dynamics of corruption in society from micro to macro scales. We argue that corruption is fruitfully understood as a collective action problem that happens between embedded people and organizations. Computational methods like network science and agent-based modeling can give insights into such situations. We also present various (big) data sources that have been exploited to study corruption. We conclude by highlighting work in adjacent fields, for instance on the problems of collusion, tax evasion, organized crime, and the darkweb, and promising avenues for future work.

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Section: Agent-based Modelsmentioning

confidence: 99%

Computational Approaches to the Study of Corruption

Villamil¹,

Kertész²,

Wachs³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Our focus is on the threshold values of agents regarding corruption rather than corruption incidents. Other scholars developed similar (e.g., Voinea, 2013; Zausinová et al., 2020) and different (e.g., Bellaubi and Pahl‐Wostl, 2017; Bijedic, Gaspar & Hadzikadic, 2018; Gutierrez‐Garcia and Rodríguez, 2016; Situngkir, 2004) models to study corruption using agent‐based modelling techniques. We refer readers to Elnawawy, Okasha & Hosny (2021) for an overview of these studies.…”

Section: Agent‐based Modellingmentioning

confidence: 99%

An agent‐based model of police corruption

Duru

Cochran

2022

Howard J Crime Justice

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Police corruption, especially in the form of bribery, is a severe social problem in many societies. However, neither the extent nor the factors contributing to police bribery are well understood because of data limitation issues. Understandably, it is incredibly challenging to observe and quantify such bribery, as it is usually considered illegal and/or unethical for police to accept and/or ask for bribes. Agent-based modelling can solve such data limitation issues because it allows for the realistic modelling of hidden behaviours. This study uses an agent-based modelling technique to investigate a threshold model of police corruption, more specifically, bribery. The authors assume that agents have a threshold regarding bribery, which may be conceptualised as either an honesty threshold or a risk threshold. The threshold value is a dynamic variable randomly assigned to each agent, and each interaction between citizens and officers possesses the potential to change the threshold of each agent.

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“…The cooperative computation can also be modeled as a social system in which rational parties receive incentives to cooperate with each other in the cloud (T. Li et al, 2018). Zausinová et al (2020) modeled a corruption scenario and its internal economics and dynamics. Authors from that study concluded that the simulation offers valuable insights for informing an effective anti-corruption policy.…”

Section: Related Workmentioning

confidence: 99%

An Agent-Based Social Simulation for Citizenship Competences and Conflict Resolution Styles

Avila

Balaguera

Morales

2022

International Journal on Semantic Web and Information Systems

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The development of citizenship competences plays an important role in a complex system like society. Thus, to analyze how such competences impact other contexts is a great challenge because this kind of study involves the work with people and the use of variables that depend on human behaviors. In this sense, many studies have highlighted the advantage of using simulation systems and tools. In particular, the agent-based social simulation field relies upon the Semantic Web to manage knowledge representation in social scenarios. This study focuses on how citizenship competences impact conflict resolution. Moreover, a simulation model in which citizens interact to resolve conflicts by considering citizenship competences and conflict resolution styles is also introduced. It was developed in NetLogo together with an extension that connects it with the ontology of competences. Results show that the higher interactions of citizens-conflicts, the higher level of citizenship competences, and the number of conflicts solved is higher when using citizenship competences.

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Aspects of complexity in citizen–bureaucrat corruption: an agent-based simulation model

Cited by 6 publications

References 29 publications

Computational Approaches to the Study of Corruption

Computational Approaches to the Study of Corruption

An agent‐based model of police corruption

An Agent-Based Social Simulation for Citizenship Competences and Conflict Resolution Styles

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