Community Detection and Mining in Social Media - Brossura

Tang, Lei; Liu, Huan

Brossura

ISBN 10: 1608453545 ISBN 13: 9781608453542

Casa editrice: Morgan and Claypool Publishers, 2010

Riassunto

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

Dettagli dell?edizione

• Editore: Morgan and Claypool Publishers
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1608453545
• ISBN 13: 9781608453542
• Rilegatura: Copertina flessibile
• Numero di pagine: 138
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile