Crate ringkernel_accnet 

RingKernel Accounting Network Analytics

GPU-accelerated accounting network analysis with real-time visualization.

This crate transforms traditional double-entry bookkeeping into a graph representation, enabling advanced analytics like:

• Fraud Pattern Detection: Circular flows, threshold clustering, Benford violations
• GAAP Compliance: Automated violation detection for accounting rules
• Behavioral Anomalies: Time-series based anomaly detection
• Network Metrics: Centrality, PageRank, community detection

Architecture

┌─────────────────┐     ┌──────────────────┐     ┌────────────────┐
│   Data Fabric   │────▶│  GPU Kernels     │────▶│  Visualization │
│ (Synthetic Gen) │     │ (CUDA/WGSL)      │     │  (egui Canvas) │
└─────────────────┘     └──────────────────┘     └────────────────┘
        │                        │                       │
        ▼                        ▼                       ▼
┌─────────────────┐     ┌──────────────────┐     ┌────────────────┐
│ Journal Entries │     │ Network Analysis │     │ Graph Layout   │
│ Transaction Gen │     │ Fraud Detection  │     │ Flow Animation │
│ Anomaly Inject  │     │ Temporal Analysis│     │ Analytics UI   │
└─────────────────┘     └──────────────────┘     └────────────────┘

Quick Start

use ringkernel_accnet::prelude::*;

// Create a network
let mut network = AccountingNetwork::new(entity_id, 2024, 1);

// Add accounts
let cash = network.add_account(
    AccountNode::new(Uuid::new_v4(), AccountType::Asset, 0),
    AccountMetadata::new("1100", "Cash")
);

// Add flows
network.add_flow(TransactionFlow::new(
    source, target, amount, journal_id, timestamp
));

// Run analysis
network.calculate_pagerank(0.85, 20);

GPU Kernel Types

1. Journal Transformation - Methods A-E for converting entries to flows
2. Network Analysis - Suspense detection, GAAP violations, fraud patterns
3. Temporal Analysis - Seasonality, trends, behavioral anomalies

Modules

actors

GPU-native actor system for accounting network analytics.

analytics

Analytics engine for real-time analysis of the accounting network.

cuda

CUDA code generation and GPU execution for accelerated analysis.

fabric

Data fabric for synthetic accounting data generation.

gui

GUI components for accounting network visualization.

kernels

GPU kernels for accounting network analysis.

models

Core data models for accounting network analytics.

prelude

Prelude for convenient imports.

Constants

NAME

Crate name.

VERSION

Version information.