Authors: Francesco Guarascio; Lorenzo Farina
Addresses: Department of Computer, Control, and Management Engineering, 'Sapienza' University of Rome, Via Ariosto 25, Rome, 00185, Italy ' Department of Computer, Control, and Management Engineering, 'Sapienza' University of Rome, Via Ariosto 25, Rome, 00185, Italy
Abstract: In this paper, using complex network theory we analyse the problem of illegal immigration on a worldwide scale. This approach appears to be appropriate in view of the invariance of scale property that we found in real data. The presented networks have been obtained using publicly available data collected from 2000 to 2011 by the UNHCR database (asylum-seekers) which is reasonably reliable, complete and regularly updated. Preliminarily, we show the roles played by a number of key nodes and clusters. Then, to find 'important' nodes, we use a role definition which is a variant of that introduced by Guimerà and Amaral (the so-called cartography approach). Finally, a coloured cartography of the clusters obtained through a geopolitical map of the world provides an easy-to-read visual tool to highlight results in a way also suitable to a broader non-technical audience.
Keywords: migration; complex networks; topological analysis; database UNHCR; clustering analysis; asylum seeker.
International Journal of Computational Economics and Econometrics, 2017 Vol.7 No.4, pp.359 - 380
Available online: 18 May 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article