 For each iteration, the model picks at random an agent to be active and one of its neighbors. With probability equal to their cultural similarity, the two sites interact and the active agent changes one of its dissimilar elements to that of its neighbor. If agent \(i = \langle 8, 7, 2, 5, 4\rangle\) is chosen to be active and it is paired with its neighbor agent \(j = \langle 8, 4, 9, 5, 1\rangle,\) for example, the two will interact with a 40% probability because they have two elements in common. If the interaction does happen, agent i changes one of its mismatched elements to match that of j, becoming perhaps \(\langle 8, 7, 2, 5, 1\rangle.\) This change creates a similarity score of 60%, yielding an increased probability of future interaction between the two.