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Using multiple methods to understand the nature of relationships in social networks
Citation
Adams, VM and Moon, K and Alvarez-Romero, JG and Bodin, O and Spencer, M and Blackman, D, Using multiple methods to understand the nature of relationships in social networks, Society and Natural Resources, 31, (7) pp. 1-18. ISSN 0894-1920 (2018) [Refereed Article]
Copyright Statement
Copyright 2018 Taylor & Francis
DOI: doi:10.1080/08941920.2018.1425514
Abstract
Effective natural resource management (NRM) often depends on collaboration through formal and informal relationships. Social network analysis (SNA) provides a framework for studying social relationships; however, a deeper understanding of the nature of these relationships is often missing. By integrating multiple analytical methods (including SNA, evidence ratings, and perception matrices), we were able to investigate the nature of relationships in NRM social networks across five service types (e.g., technical advice, on-ground support) in our case study region, Daly catchment Australia. Only one service type was rated as highly associated with free choice in establishing relationships: technical advice/knowledge. Beneficial characteristics of NRM organizations, such as collaborative and transparent, were associated with the presence of freely chosen relationships between organizations. Our results suggest a need to improve our understanding of organizational roles and characteristics, in particular for use in applied NRM contexts, such as network weaving or disseminating information.
Item Details
Item Type: | Refereed Article |
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Keywords: | agency, collaboration, organizational characteristics, repertory grid, social network analysis, stakeholder |
Research Division: | Environmental Sciences |
Research Group: | Environmental Science and Management |
Research Field: | Environmental Management |
Objective Division: | Environment |
Objective Group: | Ecosystem Assessment and Management |
Objective Field: | Ecosystem Assessment and Management at Regional or Larger Scales |
UTAS Author: | Adams, VM (Dr Vanessa Adams) |
ID Code: | 126429 |
Year Published: | 2018 |
Deposited By: | Geography and Spatial Science |
Deposited On: | 2018-06-12 |
Last Modified: | 2018-08-23 |
Downloads: | 0 |
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