| Clustering (43) |  |
| Data (486) | |
| Data analysis (6) | |
| Data gathering (7) | |
| Data mining (18) | |
| Database (127) | |
| Network analysis (12) | |
| Qualitative data (8) | |
| Quantitative data (13) | |
| Text mining (31) | |
| Clustering (43) | |
| Data (486) | |
| Data analysis (6) | |
| Data gathering (7) | |
| Data mining (18) | |
| Database (127) | |
| Network analysis (12) | |
| Qualitative data (8) | |
| Quantitative data (13) | |
| Text mining (31) | |
matching policy instruments and methodologies Innovation surveys Econometric models Control group approaches Cost benefit analysis Expert panels/peer review Field/case studies Network analysis Foresight/Technology assessment
Table 3 summarises the network analysis-based toolbox designed for characterising search regimes dimensions with an initial focus on the cells highlighted in grey. 5. Tailoring Foresight to Knowledge dynamics In this section,
evolutionary theory, network analysis and postsocialism, Regional Studies 31 (5)( 1997) 533 544.36 G. C. Unruh, Understanding carbon lock in, Energy Policy 28 (12)( 2000
and displaying information, such as network analysis, dynamic graphs and charts, even computer simulations and use of images and dramatic interpretations of posits
competitor profiling, early warning assessment, scientometrics, science mapping, scenarios, network analysis and so forth (Calof and Smith, 2010).
network analysis can be used to enable robust analysis of foresight data, which are often complex to present
The implication for foresight methods is that network analysis can introduce a‘systemic'perspective emphasising relationships between actors,
I. Sakata, K. Matsushima, Detecting emerging research fronts in regeneration medicine by the citation network analysis of scientific publications, Technol.
Complex network analysis. This is a new and emergent scientific branch that is finding increasing application in a wide range of fields, from the physical sciences, to life sciences and to social sciences.
which allowed advanced network analysis and supported novel research collaboration across research fields Foresight exercise is multi-disciplinary.
It is equally important to utilise automated tools for the clustering and network analysis of issues
and network analysis for prioritizing, clustering and combining issues. Furthermore, these methods provide support for traceability,
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