move fig folder to .github

Author: hfarruda

figure/brigadeiro.png .github/figures/brigadeiro.png

@@ -1,5 +1,5 @@
 <p style="display: flex; align-items: center; justify-content: center; margin: 0;">
-    <img src="figure/brigadeiro.png" alt="icon" style="width: 100%; max-width: 600px; height: auto; margin-right: 15px;"/>
+    <img src=".github/figures/brigadeiro.png" alt="icon" style="width: 100%; max-width: 600px; height: auto; margin-right: 15px;"/>
 </p>
 
 DOCES (Dynamical Opinion Clusters Exploration Suite) is an experimental Python library to simulate opinion dynamics on adaptive complex networks. Its background is implemented in C for performance.
@@ -110,7 +110,7 @@ Linux (Debian and Ubuntu), MacOS, and Windows
 DOCES combines high-performance C code for computational efficiency with Python for an easy-to-use interface. The architecture is modular, with the **Core** implemented in C and **Methods** accessible via Python.
 
 <div align="center">
-  <img src="figure/diagram.png" alt="DOCES Architecture" style="width:90%;">
+  <img src=".github/figures/diagram.png" alt="DOCES Architecture" style="width:90%;">
 </div>
 
 # Citation Request
@@ -123,11 +123,11 @@ The standard dynamics developed for undirected networks is cited as follows:
 
 The dynamics for directed networks, or with the use of particular types of users (e.g., stubborn and verified) is cited as follows:
 
-- Henrique Ferraz de Arruda, Kleber Andrade Oliveira, and Yamir Moreno. "Echo chamber formation sharpened by priority users." iScience (2024).
+- Henrique Ferraz de Arruda, Kleber Andrade Oliveira, and Yamir Moreno. "Echo chamber formation sharpened by priority users." iScience (2024).
 
 The dynamics with feeds (innovation parameter `mu < 1`) is cited as follows:
 
-- Kleber Andrade Oliveira, Henrique Ferraz de Arruda, and Yamir Moreno. "Mechanistic interplay between information spreading and opinion polarization." arXiv preprint arXiv:2410.17151 (2024).
+- Kleber Andrade Oliveira, Henrique Ferraz de Arruda, and Yamir Moreno. "Mechanistic interplay between information spreading and opinion polarization." arXiv preprint arXiv:2410.17151 (2024).