• 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