relation: http://eprints.imtlucca.it/2680/
title: Identifying geographic clusters: A network analytic approach
creator: Catini, Roberto
creator: Karamshuk, Dmytro
creator: Penner, Orion
creator: Riccaboni, Massimo
subject: G Geography (General)
subject: QA75 Electronic computers. Computer science
description: In recent years there has been a growing interest in the role of networks and clusters in the global economy. Despite being a popular research topic in economics, sociology and urban studies, geographical clustering of human activity has often been studied by means of predetermined geographical units, such as administrative divisions and metropolitan areas. This approach is intrinsically time invariant and it does not allow one to differentiate between different activities. Our goal in this paper is to present a new methodology for identifying clusters, that can be applied to different empirical settings. We use a graph approach based on k-shell decomposition to analyze world biomedical research clusters based on PubMed scientific publications. We identify research institutions and locate their activities in geographical clusters. Leading areas of scientific production and their top performing research institutions are consistently identified at different geographic scales.
publisher: Elsevier
date: 2015-11
type: Article
type: PeerReviewed
format: application/pdf
language: en
rights: cc_by_nd
identifier: http://eprints.imtlucca.it/2680/1/final-preprint.pdf
identifier:   Catini, Roberto and Karamshuk, Dmytro and Penner, Orion and Riccaboni, Massimo  Identifying geographic clusters: A network analytic approach.  Research Policy, 44 (9).  pp. 1749-1762.  ISSN 0048-7333      (2015)  
relation: http://www.sciencedirect.com/science/article/pii/S004873331500013X
relation: 10.1016/j.respol.2015.01.011