DocumentCode
189272
Title
Using Social Network Analysis to Unveil Cartels in Public Bids
Author
Gabardo, Ademir Cristiano ; Lopes, Heitor Silverio
Author_Institution
Fed. Univ. of Technol. - Parana - UTFPR, Curitiba, Brazil
fYear
2014
fDate
29-30 Sept. 2014
Firstpage
17
Lastpage
21
Abstract
In recent years, the study of complex networks has attracted great attention. Several fields of science have used techniques of social network analysis and complex networks to represent a wide range of structures such as, social networks, political influence, communication, epidemics and several other aspects of human behavior. Most of the complex networks show community structures. Revealing these communities is highly relevant to understanding several social phenomena such as the organizing of groups, the flow of information and the strength of the influence of some members over the group. In this article, we use techiques of social network analysis and complex networks to represent the relationship between companies that are participating in public bids to unveil community structures analog to cartels. Several nations are facing injuries trough the misuse of public money caused by the formation of cartels, which are groupings of companies aiming to defraud the free competition. Our main goal in this work is to present a methodology for identifying these communities. Furthermore, we aim to address whether companies that have high success rates in public bids are grouped and identify whether they are taking advantage of their influence in the network.
Keywords
complex networks; public administration; social networking (online); tendering; cartels; community structures; complex networks; epidemics; human behavior; political influence; public bids; public money; social network analysis; social phenomena; Algorithm design and analysis; Communities; Companies; Complex networks; Equations; Measurement; Social network services; Complex networks; clustering; community detection; graphs; public bids; social network analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Intelligence Conference (ENIC), 2014 European
Conference_Location
Wroclaw
Type
conf
DOI
10.1109/ENIC.2014.11
Filename
6984885
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