Xun Liang

This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data processing to advanced social network computing. To broaden readers’ understanding of the topics addressed, it includes extensive data and a large number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining, artificial intelligence algorithms in social computing, and several key applications of social computing application, and also discusses network propagation mechanisms and dynamic analysis, which provide useful insights into how information is disseminated in online social networks. This book is intended for readers with a basic knowledge of advanced mathematics and computer science.

As a challenging topic in computer science, artificial intelligence integrates technologies in many fields, such as mathematics, neuropsychology, information theory, cybernetics and so on. At present, artificial intelligence is more and more involved in people's daily life, from the academic community to all aspects of people's life. This book mainly introduces the typical models represented by deep learning in neural networks after the second renaissance of artificial intelligence. Since the second renaissance of artificial intelligence, convolutional neural network, recurrent neural network, long-term and short-term memory network, guided learning and advanced learning, emerged like roots' springing up. This book will mainly focus on these neural network models emerging in recent years, and introduce on these topics one by one. Also, with the rapid development of machine intelligence, an increasing number of websites have been visited by machines, how to distinguish the visitor is human or machine? In this book, for the major crisis events, we discuss the applications of blockchain technology, artificial intelligence and other related technology innovation.

This book provides a comprehensive introduction to the application of artificial intelligence in social computing, from fundamental data processing to advanced social network computing. To broaden readers’ understanding of the topics addressed, it includes extensive data and a large number of charts and references, covering theories, techniques and applications. It particularly focuses on data collection, data mining, artificial intelligence algorithms in social computing, and several key applications of social computing application, and also discusses network propagation mechanisms and dynamic analysis, which provide useful insights into how information is disseminated in online social networks. This book is intended for readers with a basic knowledge of advanced mathematics and computer science.