Concluding Remarks: Blockchain and Cryptography Convergence Insights

Table of Links

Abstract and 1. Introduction

2 Related Work and 2.1 Technology Convergence Approaches

2.2 Technology Convergence Measurements

2.3 Technology Convergence Models

3 Data

4 Method and 4.1 Proximity Indices

4.2 Interpolation and Fitting Data

4.3 Clustering

4.4 Forecasting

5 Results and Discussion and 5.1 Overall Results

5.2 Case Study

5.3 Limitations and Future Works

6 Conclusion and References

Appendix

6 Conclusion

In this study, we introduce a method that uses text mining and bibliometrics techniques, utilizing the ”OpenAlex” catalog, to create and predict technological proximity indices specific to encryption technologies. A case study applying our method highlights the convergence between blockchain and public-key cryptography. The insights gained from our method can offer valuable guidance for stakeholders and enthusiasts navigating the impacts of encryption technology.

We recognize certain constraints in our study. Our literature corpus was limited to ”OpenAlex,” which may not comprehensively represent the core interests and activities in the research community working on encryption technologies. Additionally, the non-normalized nature of our indices hinders direct comparisons among various data sources. These limitations also suggest potential paths for future research to expand our findings, enriching the field of scientific monitoring within the encryption technology community.

Supplementary information. The code of this project is on https://github.com/technometrics-lab/Proximity-indices-applied-to-OpenAlex.

Acknowledgments. We thank Jacques Roitel, whose work was the original base of this paper. Additionally, we would like to thank the other interns working at armasuisse at the time this research was led for their helpful coding advice: L´eo Meynent, Marc Egli, Francesco Intoci, Lucas Crijns, and Alexander Glavackij.

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