Many publicly available sources for big data research projects – for instance, websites of organizations in the field of higher education, shared knowledge on Wikipedia or debates on social media platforms – contain large amounts of relational and textual data. To make use of these qualities, a conceptual lens that combines social network and institutional analysis is quite helpful: Social network analysis enables us to capture larger structures and positions of individuals and organizations within these structures; institutional analysis provides concepts and tools to make meaning structures visible. In combination, we can study field configurations in unprecedented detail on a large scale. How such an approach can be applied to science and higher education research is demonstrated by early results of a current research project on transnational intermediaries in higher education.
Dieser Eintrag ist Teil der Universitätsbibliographie.
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