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Community Detection and Mining in Social Media (Synthesis Lectures on Data Mining and Knowledge Discovery)

Huan Liu; Lei Tang

Verlag: Morgan and Claypool Publishers, 2010
ISBN 10: 1608453545 / ISBN 13: 9781608453542
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Titel: Community Detection and Mining in Social ...

Verlag: Morgan and Claypool Publishers

Erscheinungsdatum: 2010

Zustand: New

Beschreibung:

Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: This book, from a data mining perspective, introduces characteristics of social media, reviews representative tasks of computing with social media, and illustrates associated challenges. It introduces basic concepts, presents state-of-the-art algorithms with easy-to-understand examples, and recommends effective evaluation methods. In particular, we discuss graph-based community detection techniques and many important extensions that handle dynamic, heterogeneous networks in social media. We also demonstrate how discovered patterns of communities can be used for social media mining. The concepts, algorithms, and methods presented in this lecture can help harness the power of social media and support building socially-intelligent systems. This book is an accessible introduction to the study of \emph{community detection and mining in social media}. It is an essential reading for students, researchers, and practitioners in disciplines and applications where social media is a key source of data that piques our curiosity to understand, manage, innovate, and excel. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, some toy data sets used in the book, and the source code of representative algorithms. The readers are encouraged to visit the book website http: //dmml.asu.edu/cdm/ for the latest information. Table of Contents: Social Media and Social Computing / Nodes, Ties, and Influence / Community Detection and Evaluation / Communities in Heterogeneous Networks / Social Media Mining. Buchnummer des Verkäufers ABE_book_new_1608453545

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