Machine Learning in Complex Networks

Complex networks are explored as powerful tools in machine learning, providing a foundation for techniques in supervised, unsupervised, and semi-supervised learning. The book details a stochastic particle competition method for non-supervised and semi-supervised learning, including an analytical framework for predicting its behavior. It addresses data reliability in semi-supervised contexts, a rarely covered topic. Additionally, a hybrid classification technique is introduced, merging low-level classification with high-level feature extraction from network data, enhancing semantic understanding.