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Area of Science:

  • Conservation Science
  • Social Network Analysis
  • Information Science

Background:

  • Social network analysis (SNA) is crucial for conservation, enhancing collaboration and efficiency.
  • Traditional survey-based SNA faces institutional hurdles and limitations in dynamic monitoring.
  • Internet-based SNA offers innovative solutions to these challenges.

Purpose of the Study:

  • To present and compare two internet-based SNA construction approaches.
  • To illustrate deviations from traditional survey-based SNA using a conservation case study.
  • To highlight the impact of link definition on network outcomes.

Main Methods:

  • Developed two internet-based SNA methods: hyperlink and relatedness links.
  • Utilized a conservation alliance in the Calumet region (n=130) as the starting network.
  • Compared internet-based results with a traditional survey-based SNA case study.

Main Results:

  • Internet-based SNA overcomes institutional barriers and allows for web presence insights.
  • Both hyperlink and relatedness link methods produced drastically different network structures.
  • Network interpretation is highly dependent on the chosen link definition.

Conclusions:

  • Internet-based SNA provides flexible and insightful alternatives to traditional methods.
  • The choice of link definition significantly influences the resulting social network structure.
  • These methods offer valuable tools for monitoring conservation collaborations over time.