NWSFTCP project work


Program Theory of Change (target is the NWSFTCP)




Social Network Analysis (SNA)

Some of the papers below illustrate a number of the core concepts / analysis tools that we will be using in the Flatback Future project, others are reviews that help contextualise different approaches. Note, we will be tailoring the various analysis tools we use to suit the specific needs of the NWSFTCP.


Berdeji, SM, Armitage, DR (2016) Bridging Organisations Drive Effective Governance Outcomes for Conservation of Indonesia’s Marine Systems.
PLoS ONE 11(1): e0147142. doi:10.1371/journal.pone.0147142



This paper provides an examples of how  Social Network analysis can support meaningful engagement with key actors and organizations at diverse governance scales for conservation outcomes. By examining and improving information flow between decision-makers, scientists, non-government organizations and government and integrate different knowledge sources this can lead to better conservation outcomes. By examining  patterns of how organizations interact, this research was able to identify how these interactions can be applied in a conservation setting.

Bodin, O, Crona, BI (2009) The role of social networks in natural resource governance: What relational patterns make a difference?
Global Environmental Change 19(2009) 366-374: doi:10.1016/j.gloenvcha.2009.05.002


This is a review paper on the use of Social Network Analysis in natural resource governance processes and outcomes. By examining stakeholders with different problems and perspective, using a network approach provides an opportunity to understand how social structures created by the pattern of relations, enhance or hinder natural resource initiatives.


Mbaru, EK, Barnes, ML (2017) Key players in conservation diffusion: Using social network analysis to identify critical injection points.
Biological Conservation 210(2017) 222-232: doi:10.1016/j.biocon.2017.03.031

This paper offers practical solutions to better identify critical actors who can achieve conservation objectives. This paper aims to understand key actors (change agents) who communicate conservation information, knowledge, and practices to support successful conservation efforts. Using a Social Network Analysis this paper provides a specific criteria to guide the selection of relevant stakeholders to lead specific conservation goals. By identifying key individuals for each conservation objectives this method is able to assess missed opportunities to progress the communication of conservation goals further through engagement activities by specific conservation organizations and management agencies.