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

Vanessa M. Adams*, Katie Moon, Jorge G. Álvarez-Romero, Örjan Bodin, Michaela Spencer, Deborah Blackman

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)755-772
    Number of pages18
    JournalSociety and Natural Resources
    Volume31
    Issue number7
    Early online date1 Feb 2018
    DOIs
    Publication statusPublished - 3 Jul 2018

    Keywords

    • agency
    • collaboration
    • organizational characteristics
    • repertory grid
    • social network analysis
    • stakeholder

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