- Provides a survey of next-generation social computational methodologies, from fundamentals to state-of-the-art techniques
- Includes perspectives from an international and interdisciplinary selection of pre-eminent authorities
- Presents balanced coverage of both detailed theoretical analysis and real-world applications
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- About this book
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This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
- Reviews
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“Human-Centered Social Media Analytics focuses on the novel social computational methodologies that are being developed to investigate social media data. … Scholars, both new and established, should consider reading … to gain an understanding of the questions they should pursue and the challenges they must overcome as they strive to advance big data and social media analytics research.” (Pratyush Bharati, Interfaces, Vol. 47 (3), May-June, 2017)
- Table of contents (11 chapters)
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Bridging Human-Centered Social Media Content Across Web Domains
Pages 3-19
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Learning Social Relations from Videos: Features, Models, and Analytics
Pages 21-41
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Community Understanding in Location-based Social Networks
Pages 43-74
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Social Role Recognition for Human Event Understanding
Pages 75-93
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Integrating Randomization and Discrimination for Classifying Human-Object Interaction Activities
Pages 95-114
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Table of contents (11 chapters)
- Download Preface 1 PDF (41.7 KB)
- Download Sample pages 2 PDF (814.1 KB)
- Download Table of contents PDF (44.1 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Human-Centered Social Media Analytics
- Editors
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- Yun Fu
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-05491-9
- DOI
- 10.1007/978-3-319-05491-9
- Hardcover ISBN
- 978-3-319-05490-2
- Softcover ISBN
- 978-3-319-34709-7
- Edition Number
- 1
- Number of Pages
- VIII, 208
- Number of Illustrations
- 46 b/w illustrations, 51 illustrations in colour
- Topics
