Corruption and its detection: a graph-theoretic approach

Thebeth Rufaro Mukwembi and Simon Mukwembi ()
Additional contact information
Thebeth Rufaro Mukwembi: University of KwaZulu-Natal
Simon Mukwembi: University of Zimbabwe

Computational and Mathematical Organization Theory, 2017, vol. 23, issue 2, No 6, 293-300

Abstract: Abstract We consider a corruption network where agents, both internal or external to the network, use connections and bribes to obtain goods or services outside the formal procedures. We develop a graph-theoretic model for the system and present sufficient conditions for detectability of the corruption status of at least one agent. Where detectability is not possible, we determine the topology of the network and all the possible corruption statuses of the agents. Further we provide, if we have information on the corruption status of a single agent, an algorithm that identifies the corruption status of every other agent in the network. Our results provide tools for detecting corrupt agents in organizations such as revenue authorities, municipalities, police, vehicle inspection departments, financial institutions and firms, while allowing the system to operate in normal mode.

Keywords: Corruption; Monitoring; Graph (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10588-016-9227-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:comaot:v:23:y:2017:i:2:d:10.1007_s10588-016-9227-z

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10588

DOI: 10.1007/s10588-016-9227-z

Access Statistics for this article

Computational and Mathematical Organization Theory is currently edited by Terrill Frantz and Kathleen Carley

More articles in Computational and Mathematical Organization Theory from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().