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Using multiple methods to understand the nature of relationships in social networks


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. 755-772. ISSN 0894-1920 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Taylor & Francis

DOI: doi:10.1080/08941920.2018.1425514


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
Keywords:agency, collaboration, organizational characteristics, repertory grid, social network analysis, stakeholder
Research Division:Environmental Sciences
Research Group:Environmental management
Research Field:Environmental management
Objective Division:Environmental Management
Objective Group:Management of Antarctic and Southern Ocean environments
Objective Field:Assessment and management of Antarctic and Southern Ocean ecosystems
UTAS Author:Adams, VM (Associate Professor Vanessa Adams)
ID Code:126429
Year Published:2018
Web of Science® Times Cited:5
Deposited By:Geography and Spatial Science
Deposited On:2018-06-12
Last Modified:2020-12-03

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