Inferring Companies Similarities from Brazilian Government Expenditure Data | Zendy

Marcelo Pita | Zendy; Gustavo Sánchez Torres | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Inferring Companies Similarities from Brazilian Government Expenditure Data

Author(s) -

Marcelo Pita,

Gustavo Sánchez Torres

Publication year - 2015

Publication title -

anais do simpósio brasileiro de sistemas de informação (sbsi)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/sbsi.2015.5878

Subject(s) - government (linguistics) , business , trustworthiness , principle of legality , context (archaeology) , discriminative model , industrial organization , cluster (spacecraft) , computer science , computer security , artificial intelligence , political science , paleontology , philosophy , linguistics , law , biology , programming language

A graph-based method is proposed for inferring similarities among companies from their affiliations in the context of expenditure financial transactions in the Brazilian Federal Government. There are trusted and untrusted companies. We performed a basic cluster analysis in the companies network to verify whether clusters (connected components) are discriminative concerning companies trustworthiness. Results show evidences that this is true, reinforcing the following hypotheses: (1) there are suppliers associations, which evidences the formation of cartels; and (2) public agencies and agents play an important role in the legality of financial transactions.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research