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Article

Using social network analysis to explore and expand our understanding of a robust environmental learning landscape

, ORCID Icon & ORCID Icon
Pages 1263-1283 | Received 10 Jul 2020, Accepted 04 Mar 2021, Published online: 22 May 2021

Figures & data

Figure 1. Map of 12-county greater San Francisco Bay Area.

Figure 1. Map of 12-county greater San Francisco Bay Area.

Table 1. Summary of data collection methods.

Table 2. Responses to network survey.

Figure 2. Combined whole-network plot of 950 organizations. Nodes on network graph represent organizations that were surveyed (large nodes) or identified by survey respondents (small nodes).

Figure 2. Combined whole-network plot of 950 organizations. Nodes on network graph represent organizations that were surveyed (large nodes) or identified by survey respondents (small nodes).

Table 3. Primary fields of work among respondent organizations.

Figure 3. Primary fields of work, as indicated by node color. Nodes on network graph represent organizations that were surveyed (large nodes) or identified by survey respondents (small nodes).

Figure 3. Primary fields of work, as indicated by node color. Nodes on network graph represent organizations that were surveyed (large nodes) or identified by survey respondents (small nodes).

Figure 4. Geographic location (Bay Area County where organization’s home/main office is located), as indicated by node color. Only surveyed organizations were asked this information and are represented.

Figure 4. Geographic location (Bay Area County where organization’s home/main office is located), as indicated by node color. Only surveyed organizations were asked this information and are represented.

Figure 5. Organization size (total number of staff members), as indicated by node shading. Only surveyed organizations wereasked this information and are represented.

Figure 5. Organization size (total number of staff members), as indicated by node shading. Only surveyed organizations wereasked this information and are represented.