eprintid: 1887
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/18/87
datestamp: 2013-11-07 12:05:18
lastmod: 2014-09-02 09:50:59
status_changed: 2013-11-07 12:05:18
type: book_section
metadata_visibility: show
creators_name: Caschili, Simone
creators_name: De Montis, Andrea
creators_name: Chessa, Alessandro
creators_name: Deplano, Giancarlo
creators_id: 
creators_id: 
creators_id: alessandro.chessa@imtlucca.it
creators_id: 
title: Weighted networks and community detection: planning productive districts in Sardinia
ispublished: pub
subjects: QC
divisions: EIC
full_text_status: none
keywords: Complex networks, Community detection, Commuting networks, Weighted networks, Spatial networks
abstract: We study the patterns of the communities of workers and students of Sardinia, by applying grouping methodologies based on the characterization of the Sardinian commuting system as a complex weighted network. The algorithm is based on a heuristic method able to optimize a quality function called modularity, as proposed by Newman et al. [01]. Its adoption allows us to detect productive basins geographically located, as composed by towns and their territories showing a certain degree of similarity. We compare the spatial distributions of communities with relevant historical and provincial boundaries, investigate on their discrepancies and correspondences, and propose possible perspectives for local policy making and planning.
date: 2009
date_type: published
publisher: (ed. by G. Rabino, M. Caglioni) Planning, complexity and new ICT 
pagerange: 27-36
pages: 304
refereed: TRUE
isbn: 978-88-6055-415-4
book_title: Planning, complexity and new ICT
citation:   Caschili, Simone and De Montis, Andrea and Chessa, Alessandro and Deplano, Giancarlo  Weighted networks and community detection: planning productive districts in Sardinia.   In:  Planning, complexity and new ICT.   (ed. by G. Rabino, M. Caglioni) Planning, complexity and new ICT , pp. 27-36.  ISBN 978-88-6055-415-4      (2009)