TWON - Large Scale Simulation (LSS)

TWON - Large Scale Simulation (LSS)#

Features (TBC)#

  • Lightweight, API-driven architecture (custom component integration, third-party service connections)

  • Modular design for easy customization (network mechanics, agent model, evaluation pipeline)

  • Scalable simulation engine (efficient memory management, parallel processing capabilities)

  • Configuration-driven setup

Architecture (TBC)#

Network Mechanics#

  • Content ranking and recommendation algorithms

  • Feed/discourse structure management (linear, tree-like)

  • Message and notification routing system

  • Platform-specific behaviors (e.g., Twitter-like vs. Reddit-like)

Agent (User) Modeling#

  • User behavior and lifecycle simulation

  • Interaction scheduling and patterns

  • Content consumption and engagement logic

  • LLM API integration for content generation

Discourse Evaluation#

  • Count-based aggregation tools

  • Automated content classification

  • Analysis pipeline integration

  • Results compilation and export

Contributing Guidelines (TBC)#

  • Code style requirements

  • Testing procedures

  • Documentation standards

Usage (Proposal)#

from twon_lss import Simulation

(
    Simulation
    .from_config("config.json")
    .run()
    .export_results("output/")
)

Configuration (JSON/TOML)#

  • Network parameters

  • Agent behavior definitions

  • Evaluation metrics specification

Development (Proposal)#

twon_lss/
├── network/
├── agents/
├── evaluation/
├── config/
└── utils/

Relevant Packages#

Table of Contents#

Contents