fix license badge

README.md

@@ -5,7 +5,7 @@
 [![Python Versions](https://img.shields.io/pypi/pyversions/mmsbm.svg)](https://pypi.org/project/mmsbm/)
 [![Tests](https://github.com/eudald-seeslab/mmsbm/actions/workflows/tests.yml/badge.svg)](https://github.com/eudald-seeslab/mmsbm/actions/workflows/tests.yml)
 [![Coverage Status](https://coveralls.io/repos/github/eudald-seeslab/mmsbm/badge.svg?branch=main)](https://coveralls.io/github/eudald-seeslab/mmsbm?branch=main)
-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+[![License](https://img.shields.io/badge/License-BSD_3--Clause-blue.svg)](https://opensource.org/licenses/BSD-3-Clause)
 [![Downloads](https://pepy.tech/badge/mmsbm)](https://pepy.tech/project/mmsbm)
 
 A Python implementation of Mixed Membership Stochastic Block Models for recommendation systems, based on the work by Godoy-Lorite et al. (2016). This library provides an efficient, vectorized implementation suitable for both research and production environments.