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How to find a needle in a haystack?: a theory-driven approach to social network analysis of regional energy transitions

How to find a needle in a haystack?: a theory-driven approach to social network analysis of... Social network analysis bears great potential for the study of complex social transition processes such as regional energy transitions. The complexity of the social processes results from a lack of empirical research, that utilises social network analysis. With this complexity come the difficulties in collecting relevant and sufficient empirical data. In this paper, we propose conceptual framework to select relevant cases, interviewees, and influencing factors for the empirical analysis of complex network dynamics. We base our conceptualisation on mainstream literature on socio-technical levels, phase-models of innovation processes, and social, economic, and political factors influencing the regional energy transition. We apply the case of a local and regional energy transition in a German county. We argue that the conceptual framework serves as a guiding system to a more thorough analysis of social network dynamics within complex social transition processes. It allows formulating hypotheses about different pathways and network dynamics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computational Economics and Econometrics Inderscience Publishers

How to find a needle in a haystack?: a theory-driven approach to social network analysis of regional energy transitions

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1757-1170
eISSN
1757-1189
DOI
10.1504/IJCEE.2018.096401
Publisher site
See Article on Publisher Site

Abstract

Social network analysis bears great potential for the study of complex social transition processes such as regional energy transitions. The complexity of the social processes results from a lack of empirical research, that utilises social network analysis. With this complexity come the difficulties in collecting relevant and sufficient empirical data. In this paper, we propose conceptual framework to select relevant cases, interviewees, and influencing factors for the empirical analysis of complex network dynamics. We base our conceptualisation on mainstream literature on socio-technical levels, phase-models of innovation processes, and social, economic, and political factors influencing the regional energy transition. We apply the case of a local and regional energy transition in a German county. We argue that the conceptual framework serves as a guiding system to a more thorough analysis of social network dynamics within complex social transition processes. It allows formulating hypotheses about different pathways and network dynamics.

Journal

International Journal of Computational Economics and EconometricsInderscience Publishers

Published: Jan 1, 2018

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