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arXiv · 1301.4933

Mapping the network structure of science parks: An exploratory study of cross-sectoral interactions reflected on the web

David Minguillo·Mike Thelwall
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Abstract

This study introduces a method based on link analysis to investigate the structure of the R&D support infrastructure associated with science parks in order to determine whether this webometric approach gives plausible results. Three science parks from Yorkshire and the Humber in the UK were analysed with webometric and social network analysis techniques. Interlinking networks were generated through the combination of two different data sets extracted from three sources (Yahoo!, Bing, SocSciBot). These networks suggest that institutional sectors, representing business, universities and public bodies, are primarily tied together by a core formed by research institutions, support structure organisations and business developers. The comparison of the findings with traditional indicators suggests that the web-based networks reflect the offline conditions and policy measures adopted in the region, giving some evidence that the webometric approach is plausible to investigating science park networks. This is the first study that applies a web-based approach to investigate to what extent the science parks facilitate a closer interaction between the heterogeneous organisations that converge in R&D networks. This indicates that link analysis may help to get a first insight into the organisation of the R&D support infrastructure provided by science parks.

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David Minguillo, Mike Thelwall. 2013-01-21. Mapping the network structure of science parks: An exploratory study of cross-sectoral interactions reflected on the web. https://doi.org/10.1108/00012531211244716

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