- [Open Access] Citation Network of the German Federal Court of Finance as GraphML (2010-2024)
- [Open Access] German Federal Court of Finance Corpus (CE-BFH)
- [Open Access] Codebook for the CE-BFH Dataset
Overview Link to heading
Following the release of citation networks for the German Federal Constitutional Court (BVerfG) and the German Federal Court of Justice (BGH) I’ve now completed and published the citation network for the German Federal Court of Finance!
The German Federal Court of Finance Corpus (CE-BFH) now includes a specialized variant containing all citations to its own decisions as structured graph data, extracted from the text of those decisions. The variant is still in a beta testing phase.
The scope of the citation network in Version 2025-01-14 is:
- ca. 180.000 individual citations
- ca. 143.000 edges (citation connections weighted by number of individual citations)
- ca. 40.000 nodes (Aktenzeichen and BFHE)
The following types of citations are included:
- Citations from Aktenzeichen to Aktenzeichen
- Citations from Aktenzeichen to BFHE
Aktenzeichen (docket number) citations are less accurate than decision citations (which require a date in addition to the Aktenzeichen for unique identification). That being said, 98,73 % of all Aktenzeichen in the CE-BFH dataset are unique (independent of date), so the Aktenzeichen is a reasonable approximation. I intend to add decision-level citation support in the future.
Basic Network Statistics Link to heading
Number of Nodes | Number of Edges | Strength (Out) | Mean In-Degree | Max In-Degree | Min In-Degree |
---|---|---|---|---|---|
39,875.00 | 143,281.00 | 178,806.00 | 3.54 | 120.00 | 0.00 |
Network Diagram for the First, Second and Third Senates Link to heading
These diagram visualize the citation network extracted from the decisions of the First, Second and Third Senate. They represent only a subset of the data. The complete network is probably too large to be visualized in any single diagram.
The visualization algorithm is Sugiyama.
The small white dots are individual docket numbers or BFHE decisions, the connecting lines are citations (any number). Multiple citations between the same nodes are not shown in the diagram, but the weights are available in the network data.
The network is hierarchical, because newer decisions can only cite older decisions, not the other way around. The diagram is read from top to bottom.
Because of the strong connections between certain decision clusters one might call them “lines of jurisprudence”, but the research on this subject is still in its infancy. The shape may simply be an artifact of the force-directed layout.
Citation Network of the First Senate Link to heading
Citation Network of the Second Senate Link to heading
Citation Network of the Third Senate Link to heading
Technical Note Link to heading
Further Reading Link to heading
Interested in citation data for other German federal courts? I’ve released citation networks created with similar methods for the following courts:
- Citation Network of the Bundesverfassungsgericht (BVerfG)
- Citation Network of the Bundesgerichtshof (BGH)
Also, make sure to check out the work of Professor Dr. Dr. Corinna Coupette. She’s done some of the best work on German legal citation networks I’ve seen so far.