This book presents recent developments on the theoretical,
algorithmic, and application aspects of Big Data in Complex and
Social Networks. The book consists of four parts, covering a wide
range of topics. The first part of the book focuses on data storage
and data processing. It explores how the efficient storage of data
can fundamentally support intensive data access and queries, which
enables sophisticated analysis. It also looks at how data
processing and visualization help to communicate information
clearly and efficiently. The second part of the book is devoted to
the extraction of essential information and the prediction of web
content. The book shows how Big Data analysis can be used to
understand the interests, location, and search history of users and
provide more accurate predictions of User Behavior. The latter two
parts of the book cover the protection of privacy and security, and
emergent applications of big data and social networks. It analyzes
how to model rumor diffusion, identify misinformation from massive
data, and design intervention strategies. Applications of big data
and social networks in multilayer networks and multiparty systems
are also covered in-depth.
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