Name
Title | ||
|---|---|---|
Influence of Technological Innovations on Industrial Production: A Motif Analysis on the Multilayer Network. |
Abstract | ||
|---|---|---|
In this work we aim at identifying combinations of technological advancements that reveal the presence of local capabilities for a given industrial production. To this end, we generated a multilayer network using country-level patent and trade data, and performed motif-based analysis on this network using a statistical-validation approach derived from maximum-entropy arguments. We show that in many cases the signal far exceeds the noise, providing robust evidence of synergies between different technologies that can lead to a competitive advantage in specific markets. Our results can be highly useful for policymakers to inform industrial and innovation policies. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/e21020126 | ENTROPY |
Keywords | Field | DocType |
innovation system,economic complexity,multilayer networks,network motifs,maximum-entropy models,statistical validation | Innovation system,Industrial production,Mathematical optimization,Competitive advantage,Motif (music),Industrial organization,Mathematics | Journal |
Volume | Issue | ISSN |
21 | 2 | 1099-4300 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martina Formichini | 1 | 0 | 0.34 |
| Giulio Cimini | 2 | 126 | 13.77 |
| Emanuele Pugliese | 3 | 3 | 1.95 |
| Andrea Gabrielli | 4 | 14 | 3.81 |