TY  - CHAP
TI  - Weighted networks and community detection: planning productive districts in Sardinia
AV  - none
Y1  - 2009///
KW  - Complex networks
KW  -  Community detection
KW  -  Commuting networks
KW  -  Weighted networks
KW  -  Spatial networks
UR  - http://eprints.imtlucca.it/1887/
A1  - Caschili, Simone
A1  - De Montis, Andrea
A1  - Chessa, Alessandro
A1  - Deplano, Giancarlo
SN  - 978-88-6055-415-4
PB  - (ed. by G. Rabino, M. Caglioni) Planning, complexity and new ICT 
SP  - 27
N2  - 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.
ID  - eprints1887
T2  - Planning, complexity and new ICT
EP  - 36
ER  -