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Unpacking Big Systems - Natural Language Processing meets Network Analysis. A Study of Smart Grid Development in Denmark

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  • Roman Jurowetzki

    (Aalborg University, Department of Business and Management)

Abstract

Studies within the detection of technological trajectories and technology fore- casting tend traditionally to rely on patent or bibliometric data. The main drawback of these invention-focused approaches is their inability to account for many mainly non-technical factors related to the social and institutional framing of technology. Value driven policies, technological and institutional path dependencies or user expectations and routines have major impact on the technological outcomes in a particular context. This paper suggests a new method for the mapping and analysis of large (technical) systems and contained technological trajectories on a national level using a combination of methods from statistical natural language processing, vector space modelling and network analysis. The proposed approach does not aim at replacing the researcher or expert but rather offers the possibility to algorithmically structure and to some extent quantify unstructured text data. The utilized filtered corpora consist of two types of Danish text-documents: 99 R&DD project descriptions and 574 (initially before filtering 813) non-academic/industrial journal publications dealing with the development of the smart energy grid in Denmark. Results show that in the explored case it is not mainly new technologies and applications that are driving change but innovative re-combinations of old and new technologies.

Suggested Citation

  • Roman Jurowetzki, 2015. "Unpacking Big Systems - Natural Language Processing meets Network Analysis. A Study of Smart Grid Development in Denmark," SPRU Working Paper Series 2015-15, SPRU - Science Policy Research Unit, University of Sussex Business School.
    • Handle: RePEc:sru:ssewps:2015-15
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    2. Phil Johnstone & Andy Stirling, 2015. "Comparing Nuclear Power Trajectories inGermany And the UK: From ‘Regimes’ to ‘Democracies’ in Sociotechnical Transitions and Discontinuities," SPRU Working Paper Series 2015-18, SPRU - Science Policy Research Unit, University of Sussex Business School.

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    More about this item

    Keywords

    Technological Systems; Smart Grid; Path Dependence; Natural Language Processing; Topic Modelling; Network Analysis;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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