In this paper we present a solution to the problem of identification of dense clusters in the analysis of port system enterprises. We consider a modification of an algorithm proposed in social network analysis which has been applied with success in different fields. A practical approach to studying the structure of networks would involve first identifying local clusters and then analyzing the relations within or between clusters. The application of methodology to data referring to the Friuli -Venezia Giulia seaport system (SPR) allows to identify four cluster of enterprises, that are integrated in different ways with the port activities.

A Statistical Methodology to estimate Cluster of Enterprises in the Analysis of Port Systems

MONTE, ADRIANA;SCHOIER, GABRIELLA
2013-01-01

Abstract

In this paper we present a solution to the problem of identification of dense clusters in the analysis of port system enterprises. We consider a modification of an algorithm proposed in social network analysis which has been applied with success in different fields. A practical approach to studying the structure of networks would involve first identifying local clusters and then analyzing the relations within or between clusters. The application of methodology to data referring to the Friuli -Venezia Giulia seaport system (SPR) allows to identify four cluster of enterprises, that are integrated in different ways with the port activities.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2713481
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