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New article by Dr. André Schaffrin, Tanja Nietgen and Benjamin Schrempf published in the International Journal of Computational Economics and Econometrics

Friday, 23 November 2018

A new article by EA researchers Dr. André Schaffrin and Tanja Nietgen and former EA researcher Benjamin Schrempf was published November 2018 in the International Journal of Computational Economics and Econometrics, Volume 8, Issue 3/4.

‘How to find a needle in a haystack?: a theory-driven approach to social network analysis of regional energy transitions’ focusses on social network analysis and the great potential it bears for the study of complex social transition processes such as regional energy transitions. With this complexity come the difficulties in collecting relevant and sufficient empirical data. In this paper, the authors propose a conceptual framework to select relevant cases, interviewees, and influencing factors for the empirical analysis of complex network dynamics. The authors apply the case of a local and regional energy transition in a German county. They argue that the conceptual framework serves as a guiding system to a more thorough analysis of social network dynamics within complex social transition processes.