Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 356835
Title Spatial-data sharing: Applying social-network analysis to study individual and collective behaviour
Author(s) Omran, E.S.E.; Etten, J. van
Source International Journal of Geographical Information Science 21 (2007)6. - ISSN 1365-8816 - p. 699 - 714.
DOI https://doi.org/10.1080/13658810601135726
Department(s) Laboratory of Geo-information Science and Remote Sensing
Technology and Agrarian Development
CERES
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2007
Keyword(s) centrality
Abstract Spatial-Data Sharing (SDS) is a crucial aspect of spatial-data infrastructures. This paper introduces Social-Network Analysis to research on SDS. By mapping out relationships among social actors using Social-Network Analysis, the collective properties of SDS in organizations can be investigated. Previous theoretical approaches have focused exclusively on individual behaviour. This paper attempts to expand this focus and applies Social-Network Analysis in a study of SDS in a project of the Egyptian Survey Authority. It concentrates on the emerging pattern of SDS between social actors in the organization and their perceptions and attitudes. Social-Network Analysis results show that SDS in this organization corresponds strongly to the existing hierarchy in the organization. Individual beliefs and perceptions of SDS show patterns that correspond strongly to the network structure. Project leaders are central in the SDS network and optimistic about SDS. Workers lower in the organization feel they have less control and express more concern about constraints regarding SDS than workers higher up in the organization. The paper shows that Social-Network Analysis can be a useful tool to study SDS and complements approaches to individual behaviour. Social-Network Analysis could be expanded to study inter-organizational SDS, could be implemented with digital technology, and could be refined to distinguish behaviour and networks according to different information types.
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