The article introduces a new way to detect community structures in complex networks using a concept called network potential. By applying ideas from physics, the researchers developed an algorithm that can divide networks into different communities by optimizing this network potential value. Testing the algorithm on both computer-generated and real-world networks with known community structures showed that it effectively identifies these structures.