The community detection based on SVM algorithm

Many things in the world can be abstracted as a network, and it's important to detect the community structure. Nowadays, many classification algorithms are used to detect the community, but its accuracy can't meet the requirements. SVM, which is related to statistical learning theory and has a series of advantages in solving the non-line classification problem, is a famous algorithm in machine learning; it can find the category as the higher accuracy, and it can play well even if the scale of the network is small. So we detect the community using SVM, then we test the algorithm in LFR benchmark datas-ets and real-world data-sets including karate networks and dolphins networks, which reach the higher accuracy rate.