
The graph presented in this dataset contains all German municipalities and their metadata keyed by NUTS Level 3, provided by the DE BKG as of 06/2019 - changed. All data renderings provided here were done in Cytoscape 3.7.1 (Season file for replication purposes is included in the archives). NUTS is a categorization system for European regions ranging from whole nations (NUTS 0), countries (NUTS 1 and 2), municipalities (NUTS 3) to even smaller regions in some cases (LAU). The AGS (amtlicher Gemeindeschlüssel), which is unique to germany, is also included in the Metadata. Thus the data can be linked with european and german institution sourced data at the same time. The archive files contain the following items: • Edge-List (NutsA-NutsB) wth NUTS only • Node-List with all metadata provided by BKG files. • Example Edge-List with Population-Density-Metric connection values • Season-File for Cytoscape 3.7.1 to reproduce the renderings in this paper All table files are in CSV format with UTF-8 encoding and ; delimiter. Special character like ö, ä, ß, ü have been replaced (with oe, ae, ss, ue) to ensure compatibility.
modeling ressource, ags, connection, epidemiology, nuts, graph, neighborhood
modeling ressource, ags, connection, epidemiology, nuts, graph, neighborhood
| 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 |
