The Seldon-code organization is dedicated to advancing the field of opinion dynamics through cutting-edge simulations and analysis. Our repositories host a suite of tools designed for researchers and developers interested in exploring how opinions form, evolve, and propagate within various types of networks. Our codebase is primarily written in C++, emphasizing performance and scalability.

Seldon is our flagship codebase for performing a variety of opinion dynamics simulations. Written primarily in C++, it is under active development to push the boundaries of simulation performance and accuracy. Seldon is designed to support researchers in conducting detailed simulations of opinion dynamics, leveraging modern computational techniques to handle complex scenarios.

• Status: Under Development
• Language: C++
• Features: Performant simulations of opinion dynamics across diverse scenarios.

Seldon will be presented at the APS March Meeting 2024, showcasing its capabilities and the latest advancements in the field of opinion dynamics.

Hari-Plotter is a comprehensive toolkit for post-processing, plotting, and visualization of simulation outputs generated by Seldon. This tool is currently under development, focusing on enabling users to easily interpret and present their simulation results through engaging and informative visualizations.

• Status: Under Development
• Main Use: Visualization of Seldon simulations
• Target Users: Researchers and developers needing to visualize opinion dynamics simulations.

Robbie is a library for developing and experimenting with home-grown neural networks. Robbie facilitates the exploration of neural network architectures and their applications in interpreting or enhancing the results of opinion dynamics simulations.

• Main Features: Custom neural network library.
• Target Users: Developers and researchers interested in neural networks and their application in opinion dynamics.

Opinion dynamics is a field of study within the realm of complex systems and sociophysics that explores how opinions, beliefs, and attitudes evolve and spread within social networks. It combines elements of physics, social science, and mathematics to understand the mechanisms driving opinion formation and change under various influences, such as personal convictions, peer pressure, media impact, and societal norms. Our work contributes to this interdisciplinary field by providing robust tools for simulation and analysis, aiding in the understanding of complex opinion dynamics phenomena.

We welcome contributions from the community, whether it's through submitting bug reports, requesting features, or contributing code. Check out each repository for specific guidelines on how to get involved.

For more information on our projects or to join our efforts, please visit our GitHub organization.

For inquiries about Seldon-code and our projects, please open an issue in the respective repository or contact us directly through GitHub.

Thank you for your interest in Seldon-code, where we're building the future of opinion dynamics simulations.