Fig 1.
The giant component of the German political science co-authorship network.
Orange nodes and shaded polygons denote the largest cohesive subgroups in the network.
Fig 2.
The giant component of the German political science co-authorship network (continued from Fig 1).
Orange nodes and shaded polygons denote the largest cohesive subgroups in the network.
Fig 3.
Cluster 1 (orange nodes) and its direct neighborhood (gray nodes). Cluster 1 is the largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 4.
Cluster 2 (orange nodes) and its direct neighborhood (gray nodes). Cluster 2 is the second-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 5.
Cluster 3 (orange nodes) and its direct neighborhood (gray nodes). Cluster 3 is the third-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 6.
Cluster 4 (orange nodes) and its direct neighborhood (gray nodes). Cluster 4 is the fourth-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 7.
Cluster 5 (orange nodes) and its direct neighborhood (gray nodes). Cluster 5 is the fifth-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 8.
Cluster 6 (orange nodes) and its direct neighborhood (gray nodes). Cluster 6 is the sixth-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 9.
Cluster 7 (orange nodes) and its direct neighborhood (gray nodes). Cluster 7 is the seventh-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 10.
Cluster 8 (orange nodes) and its direct neighborhood (gray nodes). Cluster 8 is the eight-largest cohesive subgroup identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 11.
Cluster 9 (orange nodes) and its direct neighborhood (gray nodes). Cluster 9 is one of the ninth-largest cohesive subgroups identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 12.
Cluster 10 (orange nodes) and its direct neighborhood (gray nodes). Cluster 10 is the one of the ninth-largest cohesive subgroups identified in the network. Nodes with rectangular shape denote professors. Circles denote postdoctoral researchers.
Fig 13.
Co-authorships by publication type.
Connections by publication type using the same coordinates as in Figs 1 and 2 (on the left) and a new layout without isolates (on the right). Journal articles and book chapters account for most connections.
Fig 14.
Co-authorships by publication type (continued from Fig 13).
Connections by publication type using the same coordinates as in Figs 1 and 2 (on the left) and a new layout without isolates (on the right). Journal articles and book chapters account for most connections.
Fig 15.
Clusters and their composition by publication type.
Orange nodes denote members of the clusters from Figs 1 and 2. The first column shows the complete cluster; the remaining columns show the subset of edges formed through collaborations on journal articles (second column), book chapters (third column), monographs (fourth column), edited volumes (fifth column), and other items (sixth column).
Fig 16.
Clusters and their composition by publication type (continued from Fig 15).
Clusters and their composition by publication type. Orange nodes denote members of the clusters from Figs 1 and 2. The first column shows the complete cluster; the remaining columns show the subset of edges formed through collaborations on journal articles (second column), book chapters (third column), monographs (fourth column), edited volumes (fifth column), and other items (sixth column).
Table 1.
Top 25 betweenness-central political scientists in Germany and their affiliations.
Table 2.
Top 25 closeness-central political scientists in Germany and their affiliations.
Fig 17.
First- and second-order ego network of the most central German political scientist.
The most central German political scientist, Michael Zürn (WZB & FU Berlin), and his first- and second-order ego network. Orange nodes are political scientists in cluster 8. Green nodes belong to cluster 3. Red nodes are part of cluster 6. Blue nodes belong to cluster 5. Pink nodes are part of cluster 2. Gray nodes are not part of any of the ten largest clusters presented here. These gray nodes nevertheless may belong to the direct neighborhood of other clusters. Tanja Börzel and Marianne Beisheim, for example, are part of the direct neighborhood of cluster 1. The size of the nodes is proportional to a researcher’s betweenness centrality. Squares denote professors; circles denote postdoctoral researchers or non-professorial academic staff with a doctoral degree.
Fig 18.
Distribution of shortest path lengths.
Distribution of shortest path lengths between a focal researcher and all remaining nodes of the giant component. Average density and selected densities for the top five closeness-central researchers are highlighted.
Fig 19.
Heat map of the co-authorship network aggregated at the level of research organizations.
Weights in the network denote how many individual collaboration ties between researchers exist across any two universities or research institutes. The dendrograms show the result of a hierarchical cluster analysis based on Ward’s criterion (with non-squared distances).
Fig 20.
Inter-institutional co-authorship network projected on a map of Germany.
Aggregated network between research organizations with geographical coordinates plotted on a map using the software visone.