In this paper we consider methods to highlight clusters in a network structure. Network structures are to-date widely present in transport, Telecommunication and, increasingly, in social networks and media. Big amounts of data are being created and methods to find patterns and scheme in the network structure and distribution are required. In this paper we use a sample dataset of passengers’ air traffic flows between European countries to test social network analysis algorithm, comparing them to more classical geographical techniques as the nodal regional analysis.

European Air traffic: a Social and Geographical Network Analysis

SCHOIER, GABRIELLA;BORRUSO, GIUSEPPE
2014-01-01

Abstract

In this paper we consider methods to highlight clusters in a network structure. Network structures are to-date widely present in transport, Telecommunication and, increasingly, in social networks and media. Big amounts of data are being created and methods to find patterns and scheme in the network structure and distribution are required. In this paper we use a sample dataset of passengers’ air traffic flows between European countries to test social network analysis algorithm, comparing them to more classical geographical techniques as the nodal regional analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2815123
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