This book intends to bridge two widely studied research areas: machine learning and complex networks. Therefore, we hope it will generate broad interests to the scientific community. This book is intended to be employed by researchers and students who are interested in machine learning and complex networks. To accomplish that, not only have we included classic knowledge but also recent research results. This book is aimed to be self-contained and to give interested readers insights on modeling, analysis, and applications of network-based machine learning techniques. We also provide pointers to the literature for further reading on each explored topic. Moreover, numerous illustrative figures and step-by-step examples help readers to understand the main ideas and implementation details
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