# Economic Networks

### White Paper 13, Techniques for Federated Analysis

### Mathematical Representations of Credit Portfolio Data

What do we mean by credit data? This post is a discussion around mathematical terminology and concepts that are useful in the context of working with credit data, taking us from network graph representations of credit systems to commonly used reference data sets

### First public release of the Solstice simulation framework

Solstice is a flexible open source economic network simulator. Its primary outcomes are quantitative analyses of the behavior of economic systems under uncertainty. In this post we provide a first overall description of Solstice to accompany the first public release.

### Open Risk White Paper: Deep Linking Financial and Energy Accounting

We develop a conceptual framework for integrated accounting that imposes on certain non-financial disclosures the same double-entry balance constraints that apply to conventional financial statements. We identify the key ingredients required for a rigorous multidimensional accounting framework in terms of concepts, postulates and design choices, and we illustrate these ideas with a worked-out example of linking financial and energy accounts.

### White Paper 12, Deep-Linking Financial and Energy Accounting

### Input Output Models as Graph Networks

We discuss the relation of economic input-output models with graph theory and networks

### Open Risk Academy Course: Input-Output Models with Python

A DeepDive Course into using Python to work with Input-Output Models

### White Paper 10, Concentration, diversity in economic networks

### Connecting the Dots: Concentration, diversity, inequality and sparsity in economic networks

In this second Open Risk White Paper on "Connecting the Dots" we examine measures of concentration, diversity, inequality and sparsity in the context of economic systems represented as network (graph) structures.

### 9 Ways Graphs Show Up in Data Science

We explore a variety of distinct uses of graph structures in data science. We review various important graph types and sketch their linkages and relationships. The review provides an operational guide towards a better overall understanding of those powerful tools

### Monte Carlo Simulation of the US Electoral College

Using a simplified version of the rules of the US Electoral College system we illustrate how the use of Monte Carlo techniques allows exploring systems that show combinatorial explosion

### Federated Credit Systems, Part One: Unbundling the Credit Provision Business Model

In this Open Risk White Paper, the first in a series of three, we introduce and explore the concept of federated credit systems as a potentially interesting domain for the application of federated analysis and federated learning.