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

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Javier Fernando Fornari
Sergio Gramajo
Rodolfo Neira
Mariano Cordero
Melina Gaspoz
Agustín Cabaña

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.

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