Identifying Geographic Clusters: A Network Analytic Approach

Roberto Catini (), Dmytro Karamshuk, Orion Penner and Massimo Riccaboni ()

MPRA Paper from University Library of Munich, Germany

Abstract: 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 studied been 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.

Keywords: innovation clusters; network analysis; bio-pharmaceutical industry (search for similar items in EconPapers)
JEL-codes: C6 O31 R12 (search for similar items in EconPapers)
Date: 2015-05-14
New Economics Papers: this item is included in nep-cse, nep-geo, nep-ino, nep-net, nep-sbm and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

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Journal Article: Identifying geographic clusters: A network analytic approach (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:64454

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