in policy-related documents is recognized in the goals of the first four IPCC assessments (Bolin, 2007). Although each time a scientist contributes to policy document he acts as a broker between science and policy, the pattern of co-authorship varies across scientists. Some scientists participate in a single document, as a vehicle for packaging an isolated set of findings to be policy relevant. Others participate in multiple documents, but in a fairly narrow domain of time and location. Still others participate in multiple documents that pertain to different domains. Our goal then is to study the relationship between policy-oriented behavior and location in networks defined by the co-authorship of policy documents. In particular, we test the relationship between the role of bridging in the document co-authoring network and behaviors in the policy domain. In the next section, we present our data and methods including Field et al.’s (2005) technique for characterizing social structure in terms of clusters in two-mode network data. Data Network Data The document database was generated through successive web searches using Google. We paired keywords including and each with ‘stakeholder’, ‘adaptation’, ‘impact’, ‘workshop’ the phrase change great lakes.’ We then expanded our search by from the ‘climate ‘snowballing’ initial crop of documents to build our document sample. For example, if we found a document published under the coordination of NOAA or the Union of Concerned Scientists, we looked through their publications to identify cited references that were relevant (e.g., concerning climate
in policy-related documents is recognized in the goals of the first four IPCC assessments (Bolin, 2007). Although each time a scientist contributes to policy document he acts as a broker between science and policy, the pattern of co-authorship varies across scientists. Some scientists participate in a single document, as a vehicle for packaging an isolated set of findings to be policy relevant. Others participate in multiple documents, but in a fairly narrow domain of time and location. Still others participate in multiple documents that pertain to different domains. Our goal then is to study the relationship between policy-oriented behavior and location in networks defined by the co-authorship of policy documents. In particular, we test the relationship between the role of bridging in the document co-authoring network and behaviors in the policy domain. In the next section, we present our data and methods including Field et al.’s (2005) technique for characterizing social structure in terms of clusters in two-mode network data. Data Network Data The document database was generated through successive web searches using Google. We paired keywords including ‘stakeholder’, ‘adaptation’, ‘impact’, and ‘workshop’ each with the phrase ‘climate change great lakes.’ We then expanded our search by ‘snowballing’ from the initial crop of documents to build our document sample. For example, if we found a document published under the coordination of NOAA or the Union of Concerned Scientists, we looked through their publications to identify cited references that were relevant (e.g., concerning climate