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The dataset provides network statistics based on the EU Framework Programme data from the first round (FP1, 1984-1987) till the last round (FP8 -H2020, 2013-2020) (Nodes (Vertices), Unique Edges, Edges With Duplicates, Total Edges, Self-Loops, Average Geodesic Distance, Graph Density, Average Degree, Average Betweenness, Centrality Average Closeness, Centrality Average Eigenvector, Centrality Average Clustering Coefficient).
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 692976. This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
Flow of Knowledge; EU Framework Programmes 1984-2020; Density; Betweenness; Centrality, Convergence; Knowledge Cohesion; Closeness; Geodesic Distance; Eigenvector
Flow of Knowledge; EU Framework Programmes 1984-2020; Density; Betweenness; Centrality, Convergence; Knowledge Cohesion; Closeness; Geodesic Distance; Eigenvector
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 |

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