1 Assorted Fiscal Network
Note: The dataset is implied to be internal, with nodes corresponding to individual tax payers and the authors mentioning anonymizing data themselves for security reasons. Origin Notes: The dataset is cited as being from an evaluation of TaxNet from Didimo et al. The authors claim how this system was adopted by the Italian Revenue Agency on a pilot program in Tuscany, where all the evaluations happened. Graph features in papers: categorical nodes,high degree,labeled nodes Origin Paper: A visual analytics system to support tax evasion discovery (https://www.notion.so/A-visual-analytics-system-to-support-tax-evasion-discovery-79c482a3ec0f4f329e5af94f2c4def4f?pvs=21) Originally found at: cannot find Appeared in years: 2019 Type of Collection: Lost/Unavailable is it stored properly?: No must be analyzed: No In repo?: No Related to Literature - Algorithm (1) (Dataset tag relations): ChordLink: A New Hybrid Visualization Model (https://www.notion.so/ChordLink-A-New-Hybrid-Visualization-Model-9f4abf15618f462c962e68d2974043c9?pvs=21) cleaned format?: No duplicate?: No link works?: No Added in paper: No Origin paper plaintext: A visual analytics system to support tax evasion discovery Page id: 6610534d6d3b48c5a119b04659153258 unavailable/skip: Yes Cleaned ALL data: No first look: No Related to Literature - Algorithm (Dataset tag relations) 1: ChordLink: A New Hybrid Visualization Model0 (../Benchmark%20sets%200cc6b5e454304aec98f3b59b1a720476/Literature%20ad87f14e7097454fb2f784e2c8a2797a/Literature%20-%20Algorithm%2012e01bfc60a84007aa7d2d34293e123d/ChordLink%20A%20New%20Hybrid%20Visualization%20Model0%20dd9d1e548bfa46949279e4ecbfeb18b6.md)
2 Body
2.1 Descriptions from the Literature
From “CHORDLINK: A New Hybrid Visualization Model”:
We considered a real network of taxpayers and their economic transactions. The network is provided by the IRV (Italian Revenue Agency) and refers to a portion of data for the fiscal year 2014, consisting of 174 subjects with high fiscal risk and 200 economic transactions between them [11].
From “A visual analytics system to support tax evasion discovery”:
The data sources queried by the IRV officers are modeled in TaxNet as a unified network G. Each node v of G is a single taxpayer, which can be either an individual or a legal person, like a private company or a public institution. Many attributes are associated with v, including the type of economic activity, the geographic location and territorial scope, the declared income, the amount of VAT credits/debts and of VAT refunded/paid, and the amount of economic exchange within the European Union. The edges of G are directed edges. An edge (u,v) can model different types of relationships between u and v.
2.2 Example Figures
From CHORDLINK: A New Hybrid Visualization Model
Fig. 4. A visualization obtained by selecting some communities in a node-link diagram.
== STOP RENDERING ==
https://www.sciencedirect.com/science/article/abs/pii/S0167923618300563?via%3Dihub ← italian revenue agency