Open Arsenal

An open graph of public systems.

GovGraph is an open-source platform designed to map and analyze public systems through structured, interconnected data. It brings together information from social media platforms, government disclosures, and publicly available institutional datasets into a unified graph-based architecture. The goal is not to replace existing transparency tools, but to create a structured layer where disparate public signals can be linked, compared, and studied in a consistent and auditable way.

At its core, GovGraph is built around modularity. Each subsystem—data ingestion, normalization, entity resolution, deduplication, analytics, financial modeling, and legal classification—operates independently while contributing to a shared data pipeline. This design allows contributors to extend or modify individual components without disrupting the overall system. It also ensures that every transformation step is traceable, making the system suitable for research-grade transparency analysis.

The platform includes multi-source ingestion connectors for social media and public data feeds, along with normalization layers that standardize content across different formats and platforms. An entity resolution system links officials, accounts, and organizations across datasets, while a deduplication engine ensures that repeated or overlapping data is reduced to a single canonical record. Together, these components form a consistent and structured representation of public activity.

GovGraph also incorporates analytical modules that examine engagement trends, content patterns, and cross-platform behavior. A monetization estimation layer models public-facing revenue potential based on known platform mechanisms, always framed as probabilistic estimates rather than definitive income figures. In parallel, a campaign finance integration layer processes FEC filings and related disclosures to structure financial data in a comparable format.

To support interpretability and safety, GovGraph includes a legal and compliance module that maps system outputs to structured regulatory frameworks, such as campaign finance and disclosure rules, without making legal judgments. An engagement manipulation detection system further analyzes content patterns for structural signals like engagement baiting or virality optimization techniques, focusing on behavioral patterns rather than content opinions.

Together, these components form a comprehensive system for understanding how public digital activity, financial disclosures, and institutional data intersect. GovGraph is designed as a research-oriented transparency infrastructure, emphasizing modularity, reproducibility, and structured interpretation of publicly available information.