Metadata-Version: 2.4
Name: tnfr
Version: 1.0
Summary: TNFR
Author-email: "F.F. Martinez Gamo" <fmartinezgamo@gmail.com>
License: MIT
Project-URL: Homepage, https://fermga.github.io/Teoria-de-la-naturaleza-fractal-resonante-TNFR-/
Project-URL: Repository, https://github.com/fermga/Teoria-de-la-naturaleza-fractal-resonante-TNFR-
Keywords: tnfr,fractal,resonance,symbolic,emergence,coherence
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: networkx>=2.8
Requires-Dist: numpy>=1.21.0
Requires-Dist: pandas>=1.3.0
Requires-Dist: matplotlib>=3.5.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: black; extra == "dev"
Requires-Dist: flake8; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx>=4.0; extra == "docs"
Requires-Dist: sphinx-rtd-theme; extra == "docs"
Dynamic: license-file

# TNFR - Teoría de la naturaleza fractal resonante

**TNFR** is a Python package implementing the Teoría de la naturaleza fractal resonante (TNFR), a paradigm for modeling and simulating complex emergent systems based on structural coherence and resonant dynamics.

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## What is TNFR?

TNFR provides a computational framework for studying how complex, self-organizing structures arise from simple interactions. Inspired by natural systems—such as biological networks, physical resonances, and social dynamics—TNFR models systems as networks of nodes with evolving structural properties.

---

## Key Features

- **Structural Coherence Modeling:**  
  - Each node in a TNFR network is characterized by parameters such as structural coherence (EPI), resonant frequency (νf), sense index (Si), and structural threshold (θ).
- **Emergent Dynamics Simulation:**  
  - The package allows you to simulate the evolution of networks over time, capturing how local interactions and transformations lead to global patterns and behaviors.
- **Symbolic Transformations (Glyphs):**  
  - TNFR includes a system of symbolic transformations (glyphs) that modify node properties, enabling the study of processes like emergence, mutation, resonance, and self-organization.
- **Adaptive Thresholds and Bifurcations:**  
  - The framework supports dynamic threshold calculations and the detection of structural bifurcations, allowing for the exploration of phase transitions and critical phenomena.
- **Flexible Analysis and Export:**  
  - TNFR provides tools for analyzing network evolution, detecting emergent patterns, and exporting results for further study.

---

## Who is TNFR for?

- **Researchers in complex systems, artificial intelligence, and network science**
- **Developers interested in novel paradigms for modeling and simulation**
- **Anyone curious about the principles of emergence, self-organization, and resonance in natural and artificial systems**

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## Installation

```bash
pip install tnfr
```

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## Documentation

For detailed documentation and API reference, see the TNFR Documentation.

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## License

TNFR is released under the MIT License

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Explore the fractal-resonant nature of complex systems with a new computational paradigm.
https://github.com/fermga/Teoria-de-la-naturaleza-fractal-resonante-TNFR-
https://fermga.github.io/Teoria-de-la-naturaleza-fractal-resonante-TNFR-/
