Visual process classification of companies through the use of graphs and the industrial census of Rafaela

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Published: Jun 2, 2019
DOI: https://doi.org/10.5281/zenodo.3338035

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Javier Fernando Fornari
Universidad Tecnológica Nacional Facultad Regional Rafaela Rafaela, Santa Fe – Argentina
Sergio Gramajo
Universidad Tecnológica Nacional Facultad Regional Resistencia Resistencia, Chaco – Argentina
Rodolfo Neira
Universidad Tecnológica Nacional Facultad Regional San Francisco San Francisco, Córdoba – Argentina
Mariano Cordero
Instituto Nacional de Tecnología Industrial Rafaela, Santa Fe – Argentina
Melina Gaspoz
Instituto Nacional de Tecnología Industrial Rafaela, Santa Fe – Argentina
Agustín Cabaña
Universidad Tecnológica Nacional Facultad Regional Rafaela Rafaela, Santa Fe – Argentina

Abstract

This research aims at the analysis of data collected in the last industrial census of Rafaela city, in order to detect groups of companies and their interrelation. The data base of the answers to the questionnaire is preprocessed in Python to be later read in the Gephi software. The segmentation is done considering the modularity of the network and the evolution of the graph, as parameters that determine the effective links between the companies are altered.

Article Details

Issue
Vol. 1 No. 10 (2018)
Section
Artigos

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